data engineer

data engineer ii

systems engineer

associate director data, digital & informatics (senior data engineer) Jobs in Boston

cloud engineer (aws)

data pipeline engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><h1 class="jobSectionHeader"><b>
Position Summary</b></h1><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
As a Data Engineer, you will:</p><ul><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul><p></p><p><b>
Preferred Qualifications
</b></p><ul><li>Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Understanding of software development methodologies including waterfall and agile</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$64,890.00 - $173,040.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Data Engineer

Dana-Farber Cancer Institute

<div><div><div><div>Job Ref:</div><div>
JR-1879</div></div><br>
<div><div>Location:</div><div>
20 OVERLAND ST, BOSTON, MA 02215</div><br>
</div>
<div><div>Category:</div><div>
IT/Informatics</div></div><br>
<div><div>Employment Type:</div><div>
Full time</div></div><br>
<div><div>Work Location:</div><div>
Remote: 100% off site</div></div><br>
<div></div><div><div>Salary/Pay Rate:</div><div>
$101,300.00 - $129,400.00 per year</div>
</div></div><p><b>Overview</b></p>
<p></p><div><div>The Data Engineer II helps advance oncology research and patient care by enabling the generation, management, and interpretation of clinical and research data at Dana-Farber Cancer Institute in collaboration with Boston Children&rsquo;s Hospital and other partners. This role contributes to the development and maintenance of databases, scalable ETL pipelines, automated quality monitoring, and the integration of data into consumer applications while leveraging cloud infrastructure and APIs.
<br>
<br>
The Data Engineer II translates stakeholder requirements into data resource designs, documents data lineage, and builds metrics and dashboards to optimize ETL performance and data quality. This role also provides operational support, resolves incidents through root-cause analysis, and stays current on industry tools and best practices, consistently representing DFCI&rsquo;s mission and patients.<br>
<br>
The Data Engineer II will contribute to the generation, management, and interpretation of data for DFCI&rsquo;s portfolio of clinical decision support algorithms including Treatment Pathways and Symptom Management Pathways. Treatment pathways are evidence-based decision trees built to help providers choose the best care for their patient based on the patient&rsquo;s disease and condition. Symptom Management pathways are algorithms built to help manage side effects of cancer treatment.
<br>
<br>
Reporting to the Lead Data Engineer, this role is a data team member supporting the Solutions Team within the Business Strategy department at DFCI. The responsibilities of the Data Engineer include contributing to the development and maintenance of a variety of data resources and ensuring high quality data are consistently delivered to Data Analysts and other team members who rely on data to perform their roles.<p>
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.</p><p><b><br>
Primary Duties and Responsibilities</b></p><ul><li>
Understand data consumer requirements and translate them to data resource designs</li><li>
Develop and maintain databases and ETL processes for large-scale data ingestion from various data sources</li><li>
Develop and maintain data pipeline monitoring to ensure optimal ETL execution and highest data quality; develop metrics and dashboards to monitor and improve ETL data pipelines</li><li>
Document data pipelines and transformations so data consumers can understand data lineage</li><li>
Leverage cloud infrastructure and Application Programming Interfaces (APIs) where appropriate</li><li>
Stay current with industry trends and technologies, and evaluate and adapt new tools as needed</li><li>
Provide operational support for data platforms, including resolving incidents and performing root cause analysis</li><li>
Ability to represent the interests and mission of DFCI consistently and ethically and act on behalf of its current and future patients</li></ul><p><b>
Knowledge, Skills and Abilities</b></p><ul><li>
Expert with SQL programming language and exploration</li><li>
Proficient with data warehousing and ETL pipelines</li><li>
Proficient with Excel and other Microsoft Office tools</li><li>
Proficient with Python</li><li>
Familiar with SDLC and understanding of cloud computing concepts</li><li>
Familiar with project management practices</li><li>
Familiar with writing technical requirements and specifications</li><li>
Understanding of software engineering practices such as code review, version control, testing, and continuous integration/continuous deployment (CI/CD)</li><li>
Proficient with R, Scala, Java, or another modern programming language used in data engineering (preferred, but not required)</li><li>
Hands-on experience with clinical data (preferred, but not required)</li><li>
Hands-on experience with Business intelligence tools (i.e., Tableau, neo4j, or R Shiny) (preferred, but not required)</li></ul><p><b>
Minimum Job Qualifications</b></p><ul><li>
Bachelor&rsquo;s Degree in Data Engineering, Computer Science, Biomedical Informatics, Health Services Research, Epidemiology, Biostatistics, or Public Health required.</li><li>
2 years of hands-on SQL programming and data warehousing experience required.</li></ul><p><b>
License/Certification/Registration Required: </b>None</p><p><b>
Supervisory Responsibilities: </b>No</p><p><b>
Patient Contact: </b>No</p><p>
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to .</p><p>
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
</p><h3 class="jobSectionHeader"><b>EEO Poster</b></h3>
.<p>
Pay Transparency Statement</p><p>
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate&rsquo;s relevant experience, skills and qualifications.</p><p>
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).</p>
$101,300.00 - $129,400.00</div></div></div><p></p>

Data Engineer II

Trivelta

<div>
 <p>
  Trivelta builds the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch their own fully branded, legally compliant gaming products. We have a number of international partners already demonstrating the power of the Trivelta platform&mdash;combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we&rsquo;re scaling rapidly and building a team passionate about redefining how people play, game, and connect online.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a
  <strong>
   Data Engineer II
  </strong>
  , you will be instrumental in designing, developing, and maintaining the core data infrastructure of our platform. You will take ownership of high-performance data pipelines, drive technical excellence in our data lake and warehouse architecture, and collaborate with cross-functional teams to deliver scalable, secure, and reliable data solutions that support our growth and compliance needs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design &amp; Develop Data Systems &mdash; Build scalable, resilient data pipelines and downstream architectures supporting analytics, mobile, and third-party B2B integrations.
  </li>
  <li>
   Optimize Performance, Security &amp; Compliance &mdash; Enhance system performance, implement security best practices, and ensure adherence to AML, KYC, data privacy, and gaming regulations.
  </li>
  <li>
   Data Infrastructure &amp; Analytics &mdash; Develop and maintain data pipelines for analytics, fraud detection, and regulatory reporting downstream of production data sources.
  </li>
  <li>
   Building data ingestions into a data lake
  </li>
  <li>
   Technical Ownership &amp; Collaboration &mdash; Collaborate with stakeholders, analysts, product managers, software engineers, and DevOps teams to translate requirements into effective technical solutions.
  </li>
  <li>
   Operational Excellence &mdash; Participate in incident response, monitoring, and root cause analysis to ensure system stability and security.
  </li>
  <li>
   Mentorship &amp; Innovation &mdash; Share knowledge with team members, promote best practices, and explore emerging technologies relevant to gaming analytics.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   2-4 years data engineering experience
  </li>
  <li>
   Proven experience in designing, building, and scaling high-performance data systems.
  </li>
  <li>
   Strong expertise in Python for backend development, automation, and data processing.
  </li>
  <li>
   Experience with Athena and SQL
  </li>
  <li>
   Experience with Snowflake, Redshift and BigQuery
  </li>
  <li>
   Experience with Apache Airflow/Data Orchestration Tools
  </li>
  <li>
   Experience with AWS Kinesis
  </li>
  <li>
   Proficiency in CI/CD processes and infrastructure automation within cloud environments.
  </li>
  <li>
   Experience in data pipeline architecture, analytics, and data warehouse/lake management.
  </li>
  <li>
   Ability to work independently on complex refactors and contribute to architectural decisions.
  </li>
  <li>
   Familiarity with cloud tooling (e.g., AWS), compliance (AML, KYC, data privacy), and system performance tuning.
  </li>
  <li>
   Excellent collaboration skills across cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a
  <strong>
   Hybrid
  </strong>
  position with
  <strong>
   Monday through Thursday
  </strong>
  in our
  <strong>
   Boston office
  </strong>
  near South Station and the option of working remotely on Fridays.
 </p>
</div>


<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><p><i>
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.</i></p>
<p>
Data is at the heart of every decision made at Klaviyo, and we're looking for a Senior Data Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will own creating and maintaining the internal data infrastructure that powers Klaviyo's business. This role in particular will significantly contribute to the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and mentoring the team.</p>
<p><b>
How You'll Make a Difference</b></p>
<p>
As a Senior Data Engineer, you will shape the scalability, reliability, and cost-efficiency of our data platform. You'll lead architectural decisions, establish engineering best practices, and mentor other engineers while partnering closely with analytics, engineering, and business stakeholders.</p>
<p>
Your work will directly influence data-driven decision-making across the organization by ensuring our data systems are performant, observable, and built to scale.</p>
<p><b>
What You'll Do (Responsibilities)</b></p>
<p><b>
Accelerating Engineering with AI</b></p>
<ul>
<li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.</li>
</ul>
<p><b>Data Architecture &amp; Optimization</b></p>
<ul>
<li>Design, develop, and maintain scalable dbt models and pipelines, including advanced incremental and merge strategies.</li>
<li>Architect solutions for attribution models, event data pipelines, and analytics at scale.</li>
<li>Lead performance optimization efforts across Snowflake and related data systems.</li>
<li>Define and enforce best practices for query performance, warehouse management, and cost control.</li>
</ul>
<p><b>Pipeline &amp; Platform Ownership</b></p>
<ul>
<li>Own end-to-end data pipelines, ensuring reliability, scalability, and observability.</li>
<li>Lead complex DAG orchestration with Airflow/MWAA.</li>
<li>Oversee Spark/EMR cluster management, job optimization, and large-scale backfills.</li>
<li>Implement monitoring, alerting, and automated recovery strategies for production systems.</li>
</ul>
<p><b>Infrastructure &amp; DevOps Leadership</b></p>
<ul>
<li>Architect infrastructure-as-code solutions using Terraform for Snowflake and AWS resources.</li>
<li>Oversee integration of AWS services (S3, EMR, Secrets Manager, CloudWatch) into the data platform.</li>
<li>Guide CI/CD pipeline design and improvements using GitHub Actions and CodeBuild.</li>
<li>Promote containerization best practices with Docker for scalable deployments.</li>
</ul>
<p><b>Cost &amp; Performance Management</b></p>
<ul>
<li>Monitor Snowflake and EMR usage to proactively optimize costs.</li>
<li>Analyze query performance and warehouse efficiency.</li>
<li>Troubleshoot and resolve pipeline and infrastructure performance issues.</li>
</ul>
<p><b>Leadership &amp; Mentorship</b></p>
<ul>
<li>Mentor and coach junior and mid-level data engineers through code reviews and technical guidance.</li>
<li>Establish and enforce coding standards, testing practices, and CI/CD processes.</li>
<li>Serve as technical lead for cross-functional data initiatives.</li>
<li>Advocate for reliability, performance, and cost optimization across the data engineering function.</li>
</ul>
<p><b>Who You Are (Qualifications)</b></p>
<ul>
<li>5+ years of data engineering experience, including demonstrated technical leadership.</li>
<li>Expert-level proficiency in dbt, including advanced modeling, testing frameworks, incremental strategies, and performance tuning.</li>
<li>Deep expertise in SQL and Snowflake, including query optimization, warehouse sizing, and cost governance.</li>
<li>Strong Python skills for data processing, API integrations, and internal tooling.</li>
<li>Experience architecting data lakehouse solutions.</li>
<li>Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR.</li>
<li>Proven experience operating production systems with a strong focus on reliability and cost efficiency.</li>
<li>Demonstrated experience leveraging AI to improve personal and team workflows.</li>
<li>Strong problem-solving skills and an operational mindset focused on SLAs and production stability.</li>
<li>Ability to align technical decisions with business priorities.</li>
<li>You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Expertise in Spark/EMR performance optimization and scaling strategies.</li>
<li>Advanced Terraform usage across multi-environment infrastructure.</li>
<li>Extensive experience with Airflow/MWAA orchestration at scale.</li>
<li>Strong Docker and container orchestration experience.</li>
<li>Experience architecting AI-driven workflows, including multi-agent systems, concurrent execution models, and tool-augmented agents.</li>
<li>Domain experience in:</li>
<li><ul><li>Marketing attribution modeling and analytics data flows</li>
<li>Event data ingestion, transformation, and large-scale aggregation</li>
<li>Data warehouse governance, optimization, and cost modeling</li>
<li>BI infrastructure and operational excellence</li></ul></li></ul><br>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p><p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior Data Engineer, Business Intelligence

Chewy

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Our Opportunity:
  <br/>
  <br/>
 </strong>
 Chewy&rsquo;s AI &amp; Data organization is seeking a
 <strong>
  Data Engineer II
 </strong>
 to design and build reliable, high-performance data pipelines that power analytics, machine learning, and decision-making across the company. EDS provides the unified, well-governed data platform that enables every Chewy team&mdash;from Customer Care to Finance to Marketing&mdash;to operate with speed and confidence.
 <br/>
 <br/>
 As a Data Engineer II, you&rsquo;ll operate as an
 <strong>
  independent owner
 </strong>
 &mdash;designing, implementing, and maintaining production-grade data workflows. You&rsquo;ll collaborate across AI, data science, and engineering teams to ensure our data is accurate, timely, and ready for use in analytics and AI. You&rsquo;ll balance problem solving, optimization, and innovation as you scale our Snowflake and dbt Cloud environments, while exploring how emerging AI tools can accelerate data engineering.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain batch and streaming pipelines across Snowflake, AWS, and Kafka.
  </li>
  <li>
   Develop dbt Cloud models to standardize business metrics, enforce testing, and improve lineage visibility.
  </li>
  <li>
   Integrate data from multiple sources&mdash;including Kafka, APIs, S3, and internal systems&mdash;into unified datasets.
  </li>
  <li>
   Implement monitoring and alerting for data freshness, quality, and reliability.
  </li>
  <li>
   Collaborate with analysts, data scientists, and product partners to translate business requirements into scalable data solutions.
  </li>
  <li>
   Optimize pipelines for performance, scalability, and cost efficiency.
  </li>
  <li>
   Write clean, test-covered code and unit tests; apply secure coding principles.
  </li>
  <li>
   Ensure correct application of data validation and cleansing processes to all sources.
  </li>
  <li>
   Participate in design reviews, code reviews, and documentation to drive best practices.
  </li>
  <li>
   Contribute to AI-driven modernization initiatives, such as LLM-assisted data quality checks and automation frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of experience in data engineering or a related role.
  </li>
  <li>
   Strong proficiency in Python and SQL.
  </li>
  <li>
   Hands-on experience with Snowflake and dbt Cloud for modeling and orchestration.
  </li>
  <li>
   Familiarity with Kafka or other streaming systems.
  </li>
  <li>
   Hands-on Terraform proficiency to build and modify AWS/Snowflake data infrastructure&mdash;author simple modules, manage remote state/workspaces, and ship changes via CI/CD with rollback.
  </li>
  <li>
   Understanding of ETL/ELT patterns, data modeling, and workflow orchestration.
  </li>
  <li>
   Awareness of data governance, observability, and testing best practices.
  </li>
  <li>
   Curiosity about AI-assisted engineering and a mindset of continuous experimentation.
  </li>
  <li>
   Clear, proactive communication and strong cross-functional collaboration skills.
  </li>
  <li>
   Understanding of Agile methodology, GitHub and CI/CD pipelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You&rsquo;ll Love This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the design and delivery of data systems that directly enable AI and analytics at Chewy scale.
  </li>
  <li>
   Collaborate with engineers and scientists on data products that improve operational excellence and customer experience.
  </li>
  <li>
   Work with modern tools and cutting-edge AI capabilities in a fast-moving environment.
  </li>
  <li>
   Grow into technical leadership by taking ownership of impactful, cross-functional pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 The base salary range for this role is $100,000 - $176,000.
 <br/>
 <br/>
 <ul>
  <li>
   The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
   <br/>
   <br/>
  </li>
 </ul>
 We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
 <br/>
 <br/>
 Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
 <br/>
 <br/>
 Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
 <br/>
 <br/>
 To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
</div>


Dynatrace

<div><h2 class="jobSectionHeader"><b>Your role at Dynatrace</b></h2>
<p>
The Data Engineer builds the foundation for everything else that sits on. Without clean, well-structured, timely data, there are no models to train, no experiments to run, and no products to ship. You design, build, and operate the pipelines, data platforms, and transformation layers that power the team's AI systems &mdash; and you do this at enterprise scale, not just in sandboxed environments. You have a track record of moving beyond PoC data work into hardened production infrastructure: systems that handle real data volumes, real failure modes, and real business SLAs. You treat data lineage, contracts, and observability as engineering requirements &mdash; not afterthoughts. Snowflake is your primary platform; you know it deeply, including Cortex. This role will report up into the VP of AI, Collaboration and Data's team.
<br>
<br>
Your role at Dynatrace:</p><ul><li>
Architect and operate Snowflake as the core data platform &mdash; including Snowpark for ML, Cortex LLM functions, Cortex Search, and Dynamic Tables for AI-ready data products.</li><li>
Design and maintain batch and streaming data pipelines for ingestion, transformation, and delivery of training and inference data at enterprise scale.</li><li>
Build and own dbt transformation layers: modular data models, tests, documentation, and CI/CD-integrated dbt deployments &mdash; including data contracts that define and enforce schema agreements between data producers and consumers.</li><li>
Maintain full data lineage from source to training artefact to inference endpoint &mdash; enabling reproducibility, auditability, and root-cause analysis when model quality degrades.</li><li>
Implement AI data observability across all pipelines: data freshness monitoring, volume anomaly detection, schema drift alerting, and data quality SLAs using dbt tests, Great Expectations, or equivalent tooling.</li><li>
Design and expose MCP (Model Context Protocol) servers on top of Snowflake data assets &mdash; enabling AI agents to query, retrieve, and act on enterprise data securely and reliably, with access-controlled and auditable tool interfaces.</li><li>
Build and maintain Power BI dataflows and semantic models that connect Snowflake data to business-facing dashboards and operational reports.</li><li>
Build and operate feature stores and vector databases that serve both model training and real-time RAG inference &mdash; with lineage, versioning, and responsible data governance policies covering PII handling, consent, and data retention.</li><li>
Manage data access controls, anonymization, and governance policies &mdash; ensuring all datasets used for AI training and inference comply with data protection regulations and responsible AI standards.</li><li>
Optimize Snowflake and AWS compute costs and query performance; implement credit governance, resource monitoring, and cost allocation for AI workloads.
</li></ul><p></p><p>This is a remote eligible position. Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; Denver, CO; and Mountain View, CA will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position.
</p><h2 class="jobSectionHeader"><b>What will help you succeed</b></h2>
<p>
Minimum Requirements:</p><ul><li>
5+ years of data engineering experience with proven track record building and operating Snowflake in production at enterprise scale.</li></ul><p>
Preferred Requirements:</p><ul><li>
Expert-level proficiency in Snowflake (Snowpark, Cortex, Dynamic Tables) and dbt (models, tests, documentation, data contracts, CI/CD integration).</li><li>
Expert-level proficiency in Python and SQL.</li><li>
Experience building and monitoring real-time data pipelines.</li><li>
Hands-on experience with AWS data services (S3, Glue, Lambda, Redshift, SageMaker Pipelines).</li><li>
Proven track record implementing data observability using Great Expectations, dbt tests, or Monte Carlo.</li><li>
Experience with orchestration tools and infrastructure-as-code.</li><li>
Demonstrated experience implementing data lineage and observability on a live platform.</li><li>
Track record applying responsible data governance practices: PII handling, access controls, anonymization, consent tracking, and data retention policies.</li><li>
Experience optimizing cloud compute costs and implementing resource monitoring for large-scale data workloads.
</li></ul><h2 class="jobSectionHeader"><b>Why you will love being a Dynatracer</b></h2>
<ul><li>A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.</li><li>Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.</li><li>A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
</li><li>An environment that fosters innovation, enables creative collaboration, and allows you to grow.</li><li>A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
</li><li>A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.</li><li>A relocation team that is eager to help you start your journey to a new country, always there to support and by your side.</li><li>Attractive compensation packages and stock purchase options with numerous benefits and advantages.</li></ul><h2 class="jobSectionHeader"><b>
Compensation and Rewards</b></h2>
<p>
DOE, salary $150K - $180K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location.
</p><h2 class="jobSectionHeader"><b>Equal Employment Opportunity</b></h2>
<p>
All your information will be kept confidential according to EEO guidelines.</p><p>
We offer competitive compensation, company-sponsored premium benefits, medical, dental, vacation/holidays, company matching 401(k) Plan, etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact careers@dynatrace.com. Dynatrace participates in E-Verify, participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law. To be considered for this position, please upload your resume/CV.</p></div>

Lead Data Engineer

Explore 370+ Data pipeline engineer in Boston this March. Find roles across top companies and apply now to boost your career.

370 data pipeline engineer jobs In Boston

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