senior data engineer - analytics Jobs in Boston

senior data engineer - analytics

artificial intelligence (ai) engineer Jobs in Boston

artificial intelligence (ai) engineer

artificial intelligence engineer Jobs in Boston

artificial intelligence engineer

cybersecurity engineer

data analyst - banking sql Jobs in Boston

data analyst - banking sql

data engineer

Arbor

<div><p><b>About Arbor</b></p><p>
Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time&mdash;delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.</p><p><b>
The Opportunity</b> We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing &mdash; which means you'll have real ownership over how it evolves, not just tickets to close.</p><p>
This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.</p><p><b>
What You'll Do</b></p><p>
Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end &mdash; modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.</p><p>
You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions &mdash; rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.</p><p>
You'll also play a meaningful role in shaping how we use AI in our data workflows &mdash; whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.</p><p><b>
What You Bring</b></p><p>
3&ndash;6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).</p><p>
Strong dbt fundamentals &mdash; you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.</p><p>
Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.</p><p>
Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.</p><p>
Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.</p><p>
An AI-native approach to your own productivity &mdash; you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.</p><p><b>
Compensation &amp; Work Setup</b> Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.</p></div>

Data 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:
 <br/>
 <br/>
 <strong>
  Trust
 </strong>
 . We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity.
 <br/>
 <br/>
 <strong>
  Diversity
 </strong>
 . Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.
 <br/>
 <br/>
 <strong>
  Value.
 </strong>
 Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds.
 <br/>
 <br/>
 <strong>
  Ownership
 </strong>
 . We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments.
 <br/>
 <br/>
 <strong>
  Mutual success
 </strong>
 . We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success.
 <br/>
 <br/>
 This position is
 <strong>
  100% remote
 </strong>
 , with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges.
 <strong>
  Your zone's specific pay range is dependent on your home location
 </strong>
 . We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Unsolicited resumes
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Privacy
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 All questions, comments, and requests regarding data processing at Traackr should be addressed to
 <strong>
  HR@traackr.com
 </strong>
 .
 <br/>
 <br/>
 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>


Kalderos

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people.
 <br/>
 <br/>
 That success is driven by Kalderos' greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.
 <br/>
 <br/>
 That's where you come in! We are looking for a collaborative
 <strong>
  Data Engineer II
 </strong>
 . You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes.
 <br/>
 <br/>
 <strong>
  <em>
   This is a full-time, hybrid role, which can be based in Chicago, IL or Boston, MA. Relocation assistance will not be provided.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   Expected Salary Range: $130,000-$145,000 base + bonus
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement data models in partnership with product, analytics, and engineering teams so they are scalable, well-documented, and aligned to business needs.
  </li>
  <li>
   Collaborate with other Data Engineers to solve problems that directly impact enterprise customers
  </li>
  <li>
   Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake
  </li>
  <li>
   Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs run consistently and are well-monitored
  </li>
  <li>
   Build tools that enable other data engineers to work more efficiently
  </li>
  <li>
   Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed
  </li>
  <li>
   Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in computer science or similar field, or equivalent experience
  </li>
  <li>
   2-4+ years of work experience as a Data Engineer in a professional full-time role
  </li>
  <li>
   Advanced knowledge of SQL and Python (along with data analysis libraries such as Pandas, NumPy, and others)
  </li>
  <li>
   Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with relational modeling)
  </li>
  <li>
   Ability to learn new technologies and work in various components across the full tech stack
  </li>
  <li>
   Experience with cloud native infrastructure (Azure preferred)
  </li>
  <li>
   Experience with Container Applications (Docker)
  </li>
  <li>
   Experience building ETL pipelines and other services
  </li>
  <li>
   Experience with GenAI Tools and Workflows
  </li>
  <li>
   Professional experience in application programming with an object-oriented language.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Set Yourself Apart
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with DBT and Snowflake
  </li>
  <li>
   Experience with event driven platforms
  </li>
  <li>
   Experience with infrastructure as code tools like Terraform
  </li>
  <li>
   Knowledge about the drug discount space and healthcare industry
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Highlighted Company Perks and Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical, Dental, and Vision benefits
  </li>
  <li>
   401k with company match
  </li>
  <li>
   Flexible PTO with a 10 day minimum
  </li>
  <li>
   Mobile &amp; Wifi Reimbursement
  </li>
  <li>
   Commuter Reimbursement
  </li>
  <li>
   Donation matching for charitable contributions
  </li>
  <li>
   Travel reimbursement for healthcare services not available near your home
  </li>
  <li>
   New employee home office setup reimbursement
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What It's Like Working Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
  </li>
  <li>
   We empower each other and believe in ensuring all voices are heard.
  </li>
  <li>
   We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture.
  </li>
  <li>
   We're curious and go deep. Our slack channels are filled throughout the day with insightful articles, discussions around our industry, healthcare, and anything else that interests our team!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   To learn more:
  </em>
 </strong>
 <strong>
  <em>
   https://www.kalderos.com/company/culture
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   Kalderos participates in E-Verify.
  </em>
 </strong>
</div>


Data Engineer II

State Street

<div><div>We are looking for a Senior hands-on Data Engineer for Cloud Data Lake design and development. The candidate should have Financial Services experience in design, architecture and development of large scale enterprise applications using Cloud based Data engineering platforms. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.</div><div></div><div>
Main Duties and Responsibilities:</div><ul><li>End to end Cloud Data Lake design &amp; development including data ingestion, data modeling and data distribution.</li><li>Build data integrations, hand-offs between on-prem/cloud-based systems.</li><li>Design and develop high volume data ingestion components and solutions to collect data from various sources.</li><li>Manage and use appropriate tools in the cloud data lake development and deployment.</li><li>Responsible for developing/implementing cloud infrastructure to support current and future business needs.</li><li>Participating in technical design, application build, configuration, unit testing, and production deployment.</li><li>Ensuring all cloud solutions exhibit higher level of cost efficiency, performance, security, scalability, and reliability</li></ul><div></div><div>
Required Skills:</div><ul><li>Development experience in designing, developing and deploying complex applications.</li><li>Strong tech skillset/experience in PL/SQL, Java/J2EE, Python, Scala, PERL/scripting .</li><li>Hands on experience with Cloud platforms, preferably using Databricks.</li><li>Experience in building systems using modern, scalable, resilient, cloud native architectures.</li><li>Experience in Data Modeling and database design with strong skills in performance tuning.</li><li>Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.</li><li>Hands on experience in big-data processing, troubleshooting and resolving database performance issues.</li><li>Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles &amp; Polices, Security Groups and Encryption keys.</li><li>Experience with optimizing database performance, scalability, ensuring data security and compliance.</li><li>Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.</li><li>Proficiency with CICD and DevOps.</li></ul><div></div><div>
Education &amp; Qualifications</div><ul><li>
Bachelor&rsquo;s/Master's Degree in a Computer Science, Engineering or Math or equivalent experience</li><li>
10+ years' experience in professional software design and development.</li><li>
Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently</li><li>
Proven ability to develop and work with cross functional processes and project timelines</li><li>
Excellent follow-through, attention to detail and time management skills</li></ul><div></div><div>
Salary Range:</div>
$110,000 - $207,500 Annual<div></div><div>
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.</div><div></div><div><i>
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.</i></div><div><i>
For a full overview, visit </i><div><i>https://hrportal.ehr.com/statestreet/Home</i></div><i>.</i></div><div></div><div>
About State Street</div><div></div><div>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</div><div></div><div>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</div><div></div><div>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</div><div></div><div>
Discover more information on jobs at <div>StateStreet.com/careers</div></div><div></div><div>
Read our <div>CEO Statement</div></div><div></div><div>
Job Application Disclosure:</div><div>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div></div>

Senior Data Engineer, VP

RevSpring, Inc

<div><div><b>Job Title: Senior Data Engineer - Analytics</b></div>
<div></div><div><b>Essential Functions:</b></div>
<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>
<div></div><div><b>Success in this role:</b></div>
<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>
<div></div><div><b>Minimum Requirements:</b></div>
<div><b>Specific Job Skills:</b></div>
<div></div><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>
<div></div><div><b>Preferred Skills:</b></div>
<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><div><b>Education:</b> BS Degree or equilivent work experience</div>
<div><b>Experience:</b> Five years experience developing data platforms using Python, SQL</div>
<div><b>Supervision:</b> N/A</div>
<div><b>Certifications:</b> N/A</div>
<div><b>Language Skills:</b></div>
<div>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.</div>
<div></div><div><b>Physical Capabilities: Standard categories</b></div>
<div>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.</div>
<div></div><div>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.</div>
<div></div><div>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.</div>
<div></div><div><b>Note:</b> 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></div>

Senior Data Engineer - Analytics

RevSpring

<div>
 <strong>
  Job Title: Senior Data Engineer - Analytics
  <br/>
  <br/>
 </strong>
 <strong>
  Essential Functions
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Success In This Role
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Specific Job Skills:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education:
 </strong>
 BS Degree or equilivent work experience
 <br/>
 <br/>
 <strong>
  Experience:
 </strong>
 Five years experience developing data platforms using Python, SQL
 <br/>
 <br/>
 <strong>
  Supervision:
 </strong>
 N/A
 <br/>
 <br/>
 <strong>
  Certifications:
 </strong>
 N/A
 <br/>
 <br/>
 <strong>
  Language Skills
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Physical Capabilities: Standard categories
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Note:
 </strong>
 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>


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.<p></p><p>
Position Compensation Range:</p>
$131,000.00 - $220,000.00<p></p><p>
Pay Rate Type:</p>
Salary<p></p><p><i>
Compensation may vary based on the job level and your geographic work location. </i><i>Relocation support is offered for eligible candidates.</i></p><p></p><p><b>
This position has approval to transfer a valid H1 visa.</b><b> </b><b>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.</b></p><p></p><div><b>
Primary Accountabilities</b><br>
<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><br>
<b>
Specialized Knowledge &amp; Skills Requirements</b><br>
<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><br>
Licenses:<br>
<ul><li>Not Applicable.</li></ul><br>
Travel Requirements<br>
<ul><li>Up to 10%.</li></ul><br>
Physical Requirements<br>
<ul><li>Work that primarily involves sitting/standing.</li></ul><br>
Working Conditions<br>
<ul><li>Not Applicable.</li></ul></div><p></p><h3 class="jobSectionHeader"><b>
Additional Information</b></h3><ul><li><p>
Offer to selected candidate will be made contingent on the results of applicable background checks</p></li><li><p>
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions</p></li><li><p>
Sponsorship will not be considered for this position unless specified in the posting</p></li></ul><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p>
#LI-BC2</div>

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