software engineer

data engineer

lead data engineer

senior data engineer

data analyst - banking sql Jobs in Boston

data analyst - banking sql

data platform engineer

Traackr

<div>
 Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world&rsquo;s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including:
 
 
 
 Trust
 
 . We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity.
 
 
 
 Diversity
 
 . Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.
 
 
 
 Value.
 
 Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds.
 
 
 
 Ownership
 
 . We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments.
 
 
 
 Mutual success
 
 . We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success.
 
 
 This position is
 
 100% remote
 
 , with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, maintain, and optimize data pipelines for analytics and machine learning workloads.
 </li>
 <li>
 Ensure reliability, scalability, and performance of data workflows.
 </li>
 <li>
 Implement data ingestion from internal and external sources.
 </li>
 <li>
 Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis.
 </li>
 <li>
 Build and maintain Databricks-based data pipelines and workflows.
 </li>
 <li>
 Monitor, debug, and improve data pipeline performance and platform efficiency.
 </li>
 <li>
 Develop tools and frameworks to automate data operations and ensure data quality.
 </li>
 <li>
 Work with product and engineering teams to translate data requirements into solutions.
 </li>
 <li>
 Participate in code reviews and follow data engineering best practices.
 </li>
 <li>
 Maintain documentation and contribute to improving data engineering standards and tooling.
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 2-4 years of experience in Data Engineering, Analytics Engineering, or a related field.
 </li>
 <li>
 Experience building and maintaining data pipelines and ETL/ELT workflows.
 </li>
 <li>
 Proficiency in Python and SQL for data processing and transformation.
 </li>
 <li>
 Experience working with Databricks, Spark, or similar distributed data processing platforms.
 </li>
 <li>
 Familiarity with data ingestion from APIs, databases, or cloud storage systems.
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Understanding of data modeling, data warehousing, and data quality practices.
 </li>
 <li>
 Familiarity with version control (e.g., Git) and collaborative development workflows.
 </li>
 <li>
 Ability to work collaboratively with Data Scientists, Analysts, and Engineers.
 </li>
 <li>
 Strong problem-solving and communication skills.
 
 
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary
 </li>
 <li>
 Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
 </li>
 <li>
 Coworking Office Subscription for Collaborative Spaces
 </li>
 <li>
 Health, Dental, and Life Insurance Coverage*
 </li>
 <li>
 Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
 </li>
 <li>
 Paid Parental Leave to Support Quality Time with Your Loved Ones
 </li>
 <li>
 Career Development, including Internal and External Training Opportunities
 
 
 
 
 
 </li>
 </ul>
 Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges.
 
 Your zone's specific pay range is dependent on your home location
 
 . We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details.
 
 
 Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region.
 
 
 Traackr is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. All your information will be kept confidential in accordance with EEO guidelines.
 
 
 
 Unsolicited resumes
 
 
 Traackr does not accept unsolicited resumes/CVs from headhunters or recruiting agencies sent directly to Traackr employees or through our website. Traackr will not pay any fees to any third-party agency or company unless there is a signed agreement with Traackr.
 
 
 
 Privacy
 
 
 Traackr, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.traackr.com/privacy-policy.
 
 
 All questions, comments, and requests regarding data processing at Traackr should be addressed to
 
 HR@traackr.com
 
 .
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Engineer

Perficient

<div>Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world&rsquo;s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what&rsquo;s possible - while building a career filled with growth, balance, and purpose. 
We currently have a career opportunity for a Senior Technical Consultant - Data Engineering to join our AI Data Platforms-Data &amp; Analytics-Delivery Team in Boston, MA . 
The Senior Technical Consultant will be driving the design, automation, and scaling of our cloud-native data platform. 
Job Overview:
As a Senior Technical Consultant, you&rsquo;ll work closely with engineering and business leaders to design and build data integration solutions that drive enterprise analytics and decision-making. You&rsquo;ll leverage cloud technologies, CI/CD pipelines, and Power BI to deliver scalable, high-performance data solutions. The ideal candidate excels in ETL programming, data integration, and data modeling, enabling self-service analytics and ensuring data accessibility, governance, and integrity. You&rsquo;ll be part of an agile team, participating in Scrum ceremonies and deliver continuous value to stakeholders. 
Perficient is always looking for the best and brightest talent, and we need you! We&rsquo;re a quickly growing, global digital consulting leader, and we&rsquo;re transforming the world&rsquo;s largest enterprises and biggest brands. You&rsquo;ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.</div>

Senior Technical Data Engineer - Boston, MA

American Family Insurance

<div>This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization.
Position Compensation Range:
$131,000.00 - $220,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
This position has approval to transfer a valid H1 visa. However does not have approval for sponsorship now or in the future, including for F-1 OPT (standard or STEM extension). We will evaluate work authorization based only on a candidate&rsquo;s current, documented authorization to work in the United States.<div>
Primary Accountabilities 
<ul><li>Leads an engineering team to meet project deadlines and priorities.</li><li>Supervises assigned data engineering team members &amp; activities.</li><li>Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.</li><li>Documents critical workflows and operational support aspects of team&rsquo;s responsibilities</li><li>Develops deep understanding of data sources, granularity, availability, and limitations.</li><li>Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.</li><li>Creates maintainable, scalable code to load and manipulate data in the data warehouse.</li><li>Facilitates communication upward and across project teams and business stakeholders.</li></ul> 

Specialized Knowledge &amp; Skills Requirements 
<ul><li>Demonstrated experience providing customer-driven solutions, support or service.</li><li>In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)</li><li>Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.</li><li>Able to employ design patterns and generalize code to address common use cases.
</li><li>Capable of authoring robust, high quality, reusable code and contributing to the division&rsquo;s inventory of libraries.</li><li>Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.</li><li>Applied knowledge of cloud computing (AWS, GCP, Azure).</li><li>Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.</li><li>Solid data understanding and business acumen in the data rich industries like insurance or financial</li><li>Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).</li><li>Strong understanding of database internals, such as indexes, binary logging, and transactions.</li><li>Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)</li><li>Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).</li><li>Practical experience authoring and consuming web services.</li></ul> 
Licenses: 
<ul><li>Not Applicable.</li></ul> 
Travel Requirements 
<ul><li>Up to 10%.</li></ul> 
Physical Requirements 
<ul><li>Work that primarily involves sitting/standing.</li></ul> 
Working Conditions 
<ul><li>Not Applicable.</li></ul></div><h3 class="jobSectionHeader">
Additional Information</h3><ul><li>
Offer to selected candidate will be made contingent on the results of applicable background checks</li><li>
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions</li><li>
Sponsorship will not be considered for this position unless specified in the posting</li></ul>
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.
#LI-BC2</div>

Lead Data Engineer

RevSpring

<div>
 
 Job Title: Senior Data Engineer - Analytics
 
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
 </li>
 <li>
 Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
 </li>
 <li>
 Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
 </li>
 <li>
 Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
 </li>
 <li>
 Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
 </li>
 <li>
 Provide feedback and participate in pair programming exercises.
 
 
 </li>
 </ul>
 
 Success In This Role
 
 
 
 <ul>
 <li>
 Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs
 </li>
 <li>
 Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.
 </li>
 <li>
 Business teams and Customers are empowered with AI assisted insights without dependency on engineering
 </li>
 <li>
 Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight
 </li>
 <li>
 Contribute to the team culture where innovation, autonomy, and accountability thrive
 
 
 </li>
 </ul>
 
 Minimum Requirements
 
 
 
 
 Specific Job Skills:
 
 
 
 <ul>
 <li>
 Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
 </li>
 <li>
 Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
 </li>
 <li>
 Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
 </li>
 <li>
 Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
 </li>
 <li>
 Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
 </li>
 <li>
 Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
 </li>
 <li>
 Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
 </li>
 <li>
 Experience with cloud services such as AWS, Azure, GCP.
 </li>
 <li>
 Experience in developing large scale data models and complex data pipelines.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Preferred: Experience in working with large slow changing dimension data models
 </li>
 <li>
 Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.
 
 
 </li>
 </ul>
 
 Education:
 
 BS Degree or equilivent work experience
 
 
 
 Experience:
 
 Five years experience developing data platforms using Python, SQL
 
 
 
 Supervision:
 
 N/A
 
 
 
 Certifications:
 
 N/A
 
 
 
 Language Skills
 
 
 
 Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
 
 
 
 Physical Capabilities: Standard categories
 
 
 
 The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
 
 While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
 
 
 RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 Note:
 
 This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.
</div>

Senior Data Engineer - Analytics

Daley And Associates, LLC

<div>
 
 
 Senior Data Engineer &ndash; Enterprise Data Platform (Microsoft Fabric)
 
 
 
 
 
 Daley and Associates is seeking a Senior Data Engineer for an investment management client to help architect and scale its enterprise data platform built on Microsoft Fabric. This individual contributor will design foundational data architecture, establish governance standards, and ensure a scalable, secure ecosystem supporting analytics, reporting, and AI initiatives.
 
 
 
 
 
 This role has a base salary range of $135,000.00 to $175,000.00.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Architect and enhance a Fabric-based platform using OneLake, Lakehouses, Warehouses, Pipelines, and Spark.
 
 </li>
 <li>
 
 Define architectural standards, governance frameworks (data quality, lineage, metadata, access), and best practices.
 
 </li>
 <li>
 
 Translate business needs into scalable Fabric-native solutions.
 
 </li>
 <li>
 
 Oversee external engineering partners through design reviews and quality assurance.
 
 </li>
 <li>
 
 Drive adoption of modern Fabric capabilities and reduce legacy Azure patterns.
 
 </li>
 <li>
 
 Partner with business teams to deliver high-impact data products.
 
 </li>
 <li>
 
 Guide enterprise Power BI practices, including semantic modeling, Direct Lake strategy, performance, and governance.
 
 </li>
 <li>
 
 Contribute hands-on to prototypes, frameworks, and critical components.
 
 </li>
 <li>
 
 Mentor engineers and collaborate with cloud/security teams on platform resilience and compliance.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 7+ years in data engineering, analytics engineering, or software engineering.
 
 </li>
 <li>
 
 Experience building enterprise-scale data platforms and guiding distributed engineering teams.
 
 </li>
 <li>
 
 Strong ability to translate business requirements into technical architecture.
 
 </li>
 <li>
 
 Deep expertise with Microsoft Fabric, OneLake, Spark, SQL, Python, and Power BI semantic modeling.
 
 </li>
 <li>
 
 Knowledge of dimensional modeling and modern analytics data design.
 
 </li>
 <li>
 
 Experience modernizing Azure-based data environments into Fabric-first architectures.
 
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 
 Familiarity with Azure services (Synapse, ADF, ADLS), SaaS/API integrations, data governance frameworks, and Agile delivery models.
 
 </li>
 </ul>
 
 
 
 For immediate consideration, please email a resume to Ryan at rhult@daleyaa.com with the subject line &ldquo;Sr. Data Engineer &ndash; Boston, MA&rdquo;.
 
 
 
 
 
 
 
 
 
 
 IND123
</div>

Senior Data Engineer

McKinsey & Company

<div><div><div>Job ID: 106488
<div><div><li>Boston</li><li>Chicago</li><li>New York City</li><li>San Francisco</li><li>Silicon Valley</li>
</div><div>+ 1 More</div></div><div> 
</div></div><div> 
 
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div>YOUR IMPACT
<div>Come and work with our Firm&rsquo;s top technical minds on a product team developing an AI Platform that will enable next-generation client services. Be at the forefront of developing this exciting technology for our Firm.
You will work with a cross-functional team that includes senior firm leaders, CST leaders, practice leaders and cutting-edge engineers. The team is led by some of our Firm&rsquo;s most senior leaders, including Asutosh Padhi, Brian Elliott, and Klemens Hjartar and is scaling to a large team of full-stack engineers, data engineers, data scientists, and designers.
This role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.
We are looking for a Data Engineer with expertise in Python development, including data workflows, knowledge graphs, and/or generative AI.You would be working closely with software engineers, data scientists, UI/UX designers, and other technologists.
Your work would include but won't be limited to creation of the python code, tests, creation and modification of CI/CD pipelines, working with multiple cloud infrastructures (AWS, Azure, GCP) and docker containers.
You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Work includes but not limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with multiple cloud infrastructures and docker containers.</div>
</div></div><div><div>YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
When you join us, you will have:<div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div>YOUR QUALIFICATIONS AND SKILLS
<div><ul><li>US Citizenship required</li><li>
Defense experience and experience working with data at various classification levels required</li><li>
SECRET Security Clearance Required; TS+ clearance preferred</li><li>
3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services; other clouds (Azure, GCP) a plus</li><li>
Previous enterprise platform experience preferred</li><li>
Significant previous experience with Neo4j and strong understanding of knowledge graphs, as well as strong experience with relational databases</li><li>
Practicing high coding standards with clean code, modularity, error handling, testing automation and more</li><li>
Hands-on experience with Docker</li><li>
Solid and demonstrable background in data pipeline performance and diagnostics</li><li>
Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges</li><li>
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment</li></ul></div></div></div></div></div>

Platform Data Engineer – US Defense / Public Sector

PA Consulting

<div><div>We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life</div> 
<div><div><div><div><h4 class="jobSectionHeader">Job description</h4>
Your day to day
We&rsquo;re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about both developing new capabilities and ensuring the optimization and reliability of existing data systems? Are you passionate about designing, building, and operating data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine?
If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers.
As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. This role provides a dynamic mix of innovative new development&mdash;enhancements, optimizations, and Proofs of Concept&mdash;alongside meaningful hands‑on ownership of production pipelines, data flows, and platform operations.
You will contribute to system improvements while also owning the monitoring, troubleshooting, tuning, and day-to-day reliability of the existing data ecosystem. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.</div> 
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Qualifications</h4>
Qualifications
At least 8 years of industry working experience as a data engineer<ul><li>
Advanced SQL and Python</li><li>
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li><li>
Experience building dynamic, metadata driven pipelines and analyses</li><li>
Experience maintaining and supporting production data systems, including pipeline monitoring, troubleshooting, and delivering long‑term reliability and optimization enhancements</li><li>
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:<ul><li>
Designing and building data interfaces to source systems</li><li>
Combining and transforming data into the appropriate format for storage</li><li>
Developing data sets for analytics purposes</li><li>
Developing pipelines that can handle common issues/errors in a robust and automated way</li><li>
Implementing data quality checks, observability, and cost/performance optimization</li></ul></li><li>
Cloud experience in Azure, AWS or GCP</li><li>
Ability to balance enhancement work with operational responsibilities in a production environment</li></ul>
Preferred qualifications<ul><li>
Spark / PySpark experience highly preferable</li><li>
Working in Agile and DevOps environments</li><li>
Basic Python, Bash, or PowerShell for automation</li><li>
Data modelling &ndash; Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li><li>
Data visualisation in Power BI, Tableau, Qlik or similar</li><li>
Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li><li>
Experience with monitoring/observability tools (logging, alerting, pipeline health dashboards)</li><li>
One or more of the following certifications:<ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics - Specialty</li><li>
GCP Professional Data Engineers</li></ul></li></ul> 
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Additional information</h4>
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
The salary range for this role is between $155,000k - $180,000k 
 
Benefits<ul><li>
Group medical insurance</li><li>
Health Savings Account with company match</li><li>
Teladoc and informed Nurse line resources</li><li>
Long term care plan</li><li>
Group dental insurance</li></ul><ul><li>
Vision plan</li><li>
401(k) Savings Plan with company profit sharing contribution</li><li>
Commuter and Parking tax-savings benefit</li><li>
15 days paid vacation days with the opportunity to buy five additional days</li><li>
10 paid Holidays plus 10 paid sick days</li></ul><ul><li>
Company and Voluntary income protection benefits</li><li>
Gym and health incentive reimbursement</li><li>
Pet and legal insurance Plans</li><li>
Employee Assistance Plan</li><li>
Annual performance-based bonus</li></ul>
#LI-JS1</div></div></div></div></div>

Explore 389+ Data platform engineer in Boston this March. Find roles across top companies and apply now to boost your career.

389 data platform engineer jobs In Boston

Data Engineer

Senior Technical Data Engineer - Boston, MA

Lead Data Engineer

Senior Data Engineer - Analytics

Senior Data Engineer

Platform Data Engineer – US Defense / Public Sector

Senior Data Engineer