{"id":3724036,"url":"https://alion.io/job/publicis-groupe-big-data-engineer","title":"Big Data Engineer","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":51,"ghost_share":0,"stale_share":0,"repost_share":0.059,"time_to_fill_p50_days":14,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Westminster, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":73500,"max":136500,"currency":"USD","period":"year","gross":null,"usd_annual":136500},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-04T04:13:58Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-04T23:16:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Company Description\nSee how Epsilon powers connected marketing by unlocking the full potential of data and identity.\nOverview\nAt Epsilon, we do more than collect and store data. We help some of the world’s biggest brands discover real opportunities inside the data types, delimiters and decimals. We’re looking for an experienced Software Engineer to join Epsilon’s Development Team in our Data Practice.\nWe’re looking for an experienced Software Engineer to help us build innovative and secure data solutions for social media, search, and digital ads within a Big Data environment. In this role, you will use best-in-class engineering approaches and secure data management practices to help process terabytes of data each week, while solving difficult problems using predictive analytics and cutting-edge technologies.\nIn this role with our company, you will work in a group that is not only focused on their project work but also their efficiency, compliance, standards, situational awareness, and readiness. You’ll be a critical part of a fast-moving, innovative team where you’ll work independently in some situations as well as working with a greater team in tasks that require full collaboration.\nResponsibilities\nDesign, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark on Databricks.\nOptimize and fine-tune Spark jobs for performance, including resource utilization, shuffling, partitioning, and caching, to ensure maximum efficiency in large-scale big data environments.\nDesign and implement scalable, fault-tolerant data pipelines with end-to-end monitoring, alerting, and logging.\nLeverage AWS/DBX cloud services to build and manage data pipelines and distributed processing workloads.\nDevelop and optimize SQL queries across relational and data warehouse systems (RDBMS/Data Warehouse).\nApply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance.\nUse Git (or equivalent) for source control and maintain strong unit and integration testing practices.\nCollaborate with Product Owners, partners, and cross-functional teams to translate business requirements into technical solutions.\nDemonstrate strong analytical skills with the ability to extract actionable insights from large datasets and support data-driven decision-making.\nQualifications\nB.S. in Computer Science, Computer Engineering, or a similarly related field.\n1-3 years of software development experience in a scalable, distributed, or multi-node environment.\nExperience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines.\nPassionate about DATA - understanding data ingestion, ETL processes, and data shift/trend analysis.\nProficient in programming with Python, PySpark, SQL, or C++ and is comfortable building data-driven solutions at scale.\nExperience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, preferred.\nSignificant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies.\nDemonstrated experience with cloud platforms (AWS, preferred) and an interest in cloud migration projects.\nExposure to modern data tools and frameworks such as Databricks and MWAA/Airflow.\nStrong problem-solving skills with the ability to own problems end-to-end and deliver results.\nConsultative mindset - comfortable taking initiative, building relationships, communicating broadly, and tackling challenges head-on. \nCollaborative team player with an eagerness to learn from peers and mentors while contributing to a culture of growth.\nMotivated to grow your career within a dynamic, innovative company\nWhy you might stand out from other talent:\nExperience with all three of Hadoop, Spark, and Scala is a plus.\nExperience with both Docker and Kubernetes is a plus.\nAWS, Databricks, or Spark certifications are preferred.\nKnowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations is a plus.\nAdditional Information\nWhen you join Epsilon, we’ll create something EPIC together. We’re a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees.\nCheck out a few of these resources to learn more about what makes Epsilon so EPIC:\nOur Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon\nLife at Epsilon: https://www.epsilon.com/us/about-us/epic-blog\nEpsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who align with our company values, demonstrate them and make them meaningful in their day-to-day work:\nAct with integrity. We are transparent and have the courage to do the right thing.\nWork together to win together. We believe collaboration is the catalyst that unlocks our full potential.\nInnovate with purpose. We shape the market with big ideas that drive big outcomes.\nRespect all voices. We embrace differences and foster a culture of connection and belonging.\nEmpower with accountability. We trust each other to own and deliver on common goals.\nBecause You Matter\nAs an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to:\nTime to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time\nFamily well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance\nExtra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling\nEpsilon benefits are subject to eligibility requirements and other terms.\nEpsilon 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 who need accommodations to complete the application process. Please reach out to  to request an accommodation.\nFor San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment 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.\nCompensation Range: USD $73,500.00 - USD $136,500.00/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. 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