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Senior Database Developer

Publicis Groupe

Irving, TXJob$89–127K/yrSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$89–127K/yr
Location
Irving, TX
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Databricks Developer designs, builds, tests, deploys, and supports scalable data engineering solutions on the Databricks Lakehouse Platform. The role develops batch and streaming pipelines, transforms large datasets, and delivers governed data products for analytics, marketing, and CRM. The developer partners with cross-functional and client teams to translate business requirements into secure solutions, improve pipeline performance, automate deployments, and support production data products.

Skills & qualifications

RequiredNice to have

Skills

Databricks, nice to haveApache Spark, nice to havePySpark, nice to havePython, nice to haveSQL, nice to haveETL/ELT Pipelines, nice to haveData Ingestion, nice to haveDelta Lake, nice to haveMedallion Architecture, nice to haveData Quality, nice to haveData Reconciliation, nice to haveUnit Testing, nice to haveData Validation, nice to haveSpark Optimization, nice to haveDatabricks Workflows, nice to haveDatabricks Jobs, nice to haveDatabricks Notebooks, nice to haveDatabricks Repos, nice to haveProduction Support, nice to haveAnalytical Skills, nice to haveProblem Solving, nice to haveCommunication, nice to haveCollaboration, nice to haveOrganization, nice to haveDatabricks Lakehouse Platform, nice to haveUnity Catalog, nice to haveData Governance, nice to haveAccess Controls, nice to haveAsset Bundles, nice to haveCI/CD, nice to haveAzure Data Lake Storage, nice to haveAmazon S3, nice to haveGit, nice to haveAzure DevOps, nice to haveGitHub Actions, nice to haveSQL Performance Tuning, nice to haveCluster Sizing, nice to haveProduction Monitoring, nice to haveAuto Loader, nice to haveStructured Streaming, nice to have

Qualifications

Bachelor's in Computer Science, Engineering, Information Systems, or Related Field, nice to have5+ Years Data Engineering, Database Development, or Data Warehouse Development Experience, nice to have3+ Years Databricks and Apache Spark Development Experience, nice to haveDatabricks Data Engineer Associate or Professional Certification, nice to have

Benefits

Tuition Assistance
Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

Company description

A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together, the Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people.

Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem-solving nature. Which means we're untethered from any specific medium or method—we go where ideas will work best.

We are an expanding network with more than 5,000 employees, with agency brands throughout our global offices. Publicis Digital Experience brands include Razorfish, Digitas, Arc Worldwide, Saatchi Saatchi X, Plowshare, 3Share, Epsilon Auto and the Publicis Commerce Exchange.

Overview

How You’ll Make an Impact

Epsilon is seeking a Senior Databricks Developer to join our development team. You will design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform. Your primary responsibilities will include developing reliable batch and streaming pipelines, transforming large data sets, and delivering governed, high-quality data products for analytics, marketing, and CRM use cases.

  • Work together to win together: The Senior Databricks Developer will report to a Senior Manager, Development. You will partner with Quality Assurance, Business Systems Analysts, Project Managers, data architects, and client delivery teams to translate business requirements into secure, supportable data solutions.

  • Innovate with purpose: As part of the technical delivery team, you will use Databricks, Apache Spark, Delta Lake, and modern engineering practices to design reusable frameworks, improve pipeline performance, automate deployments, and implement solutions according to statement-of-work requirements and timelines.

Responsibilities

What You’ll Achieve

  • Impact: You will integrate and transform client data at scale, enabling targeted marketing campaigns, customer analytics, reporting, and custom CRM solutions through trusted Lakehouse data products.

  • Career Growth: If successful, the Senior Databricks Developer may gain exposure to additional clients and complex data modernization initiatives. You may also have an opportunity to progress to a Lead Databricks Developer role, mentor junior engineers, establish engineering standards, and strengthen technical leadership skills.

Qualifications

Who You Are

What you’ll bring with you:

  • Strong experience working as part of a technology team, translating business requirements and functional specifications into technical designs, source-to-target mappings, data flows, and operational documentation.

  • Hands-on experience developing scalable ETL and ELT pipelines using Databricks, Apache Spark, PySpark, Python, and SQL, including ingestion from files, APIs, relational databases, cloud object storage, and streaming sources.

  • Experience designing Delta Lake solutions using bronze, silver, and gold data layers; implementing schema enforcement and evolution; and applying data quality, reconciliation, unit testing, and validation controls.

  • Experience optimizing Spark workloads through appropriate partitioning, file sizing, caching, join strategies, cluster configuration, and query tuning. Working knowledge of Databricks Workflows, Jobs, notebooks, repos, and production support practices is required.

  • Initiative - You possess a strong can-do attitude, take ownership of tasks and deliverables, and independently learn new Databricks capabilities, cloud services, and client domains.

  • Problem Solving - Excellent analytical skills with the ability to diagnose data, code, performance, and production pipeline issues quickly and methodically.

  • Collaboration - Proven experience working across engineering, QA, architecture, analysis, project management, and client teams. You communicate technical concepts clearly in verbal and written form.

  • Organization - You are deadline-focused, well organized, and detail-oriented, with the ability to manage multiple development priorities, releases, and production support needs.

Why you might stand out from other talent:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

  • Experience delivering marketing, customer data, automotive, or CRM solutions.

  • 5+ years of data engineering, database development, or data warehouse development experience.

  • 3+ years of hands-on Databricks and Apache Spark development experience in a production environment.

  • Knowledge and experience with:

  • Databricks Lakehouse Platform, Apache Spark, PySpark, Python, and advanced SQL.

  • Delta Lake, medallion architecture, Unity Catalog, data governance, and access controls.

  • Databricks Workflows and Jobs, notebooks, repos, Asset Bundles, and CI/CD practices.

  • Azure Data Lake Storage, Amazon S3, or comparable cloud object storage and services.

  • Git-based source control and automated deployment tools such as Azure DevOps or GitHub Actions.

  • Spark and SQL performance tuning, cluster sizing, cost optimization, and production monitoring.

  • Batch and streaming ingestion, including Auto Loader and Structured Streaming.

  • Data modeling, ETL/ELT, APIs, file processing, and integration with relational databases.

  • Databricks Data Engineer Associate or Professional certification is a plus.

Additional information

The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:

Monetary assistance and support for Adoption, Surrogacy and Fertility

Monetary assistance and support for pet adoption

Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance

Tuition Assistance

Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more

Matching Gifts programs

Flexible working arrangements

Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)

Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.

We also offer medical and voluntary benefits to our freelancers and temporary employees. Voluntary benefit options include supplemental medical insurance, transportation, and parking benefits, legal benefits, pet insurance, and auto and home insurance. You must be actively employed for 90 consecutive calendar days in order to be eligible for Publicis medical and voluntary benefits.

You must be work authorized in the United States on a full-time basis without the need for employer sponsorship now or in the future. The Company cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the future or cannot work now on a full-time basis.

Publicis Digital Experience is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.

If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected] .

All your information will be kept confidential according to EEO guidelines.

#LI-AB1

Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 12/22/2026.

How this job compares

Set against the 6,255 open Data Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$89–127K/yr
  • Texas median$120–205K/yr315 salary ranges
  • US median$125–208K/yr4,857 salary ranges

This range's midpoint, $108K, is 32% below the Texas median midpoint ($159K) — in the lowest quarter of Data Engineer salary ranges in Texas.

Openings
Olive Jobs lists 467 open Data Engineer jobs in Texas and 6,255 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,438 postings).
Education
2,380 of the 6,255 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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