Data Solutions Engineer

Job Description This role will be hands on in code development to drive solutions to delivery by effectively engaging with team members across the globe. The person in this role must be proficient in SQL and Python, as you will work both independently to meet required specifications of solution delivery and with business users to ingest new complex data quality uses cases. In both cases the output work product will be incorporated into production environments, so the ideal candidate stepping into the role will also be a key contributor in delivering critical business features with a passion for big data technologies. Responsibilities Build and maintain data solutions collecting and warehousing hundreds of terrabytes of data per day. Influence our technical decisions Keep yourself informed and up to date with technologies Build data expertise on subject matter and be able to speak to data warehouse constructs and data architecture You will design and code solutions in both on premises and cloud environments Working closely with Engineering and Business resources across the globe to ensure delivery of efficient cost effective solutions to business needs are met Design and implement scalable data solutions within a CI/CD environment, supporting the migration from a complex on‑premises ecosystem—including Kafka, Hadoop, HDFS, Spark, and multiple MPP GreenPlum databases—to a modern, cloud‑based architecture leveraging Databricks. Continuous improvement of processes optimizing for speed and cost savings while scaling for increasing data volumes Ideal candidate can lead in the developing solutions in Spark (Scala and Python), cross team communication, testing and release deployment Manage deployments to Kubernetes clusters usingArgoCDfor GitOps-based delivery andStrimzifor Kafka operations. Qualifications Able to do your best work in a team setting and autonomously Well‑developed interpersonal skills. Owns a problem to the end Proud to share in team’s success Wants to grow a career with a great company. Who You Are What you’ll bring with you: Bachelor’s Degree in Computer Science or equivalent degree is required. Around 3-6 (depending on if senior or not) years’ professional experience on a development team manipulating data Fluent SQL with ability to ingest complex use cases, refactor and ask questions Strong experience in Python or other languages (JAVA or Scala) Ability to troubleshoot production issues and solve for performance bottlenecks Ability to analyze processes and identify improvements and optimizations Excellent communication skills and ability to work with the internal analyst community Ability to thrive in a collaborative team environment and handle complex products You enjoy working with numerous programming languages, relational databases, and distributed systems. Our platform is ever evolving, but currently is a combination of Kafka, Spark, Scala, Java, Python, MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, and Kubernetes Why you might stand out from other talent: Internet/Digital Advertising ecosystem knowledge is a plus Cloud development experience is a plus Databricks experience is a plus Compensation Base Salary: $73,500.00 - $136,500.00 Actual compensation within the range will be dependent upon, but not limited to the individual’s skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time. Because You Matter Time to Recharge: Flexible time off (FTO), 15 paid holidays Time to Recover: Paid sick time Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. EEO Statement Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #J-18808-Ljbffr UNAVAILABLE