{"id":2038812,"url":"https://alion.io/job/vericast-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":4777,"name":"Vericast","domain":"vericast.com","url":"https://alion.io/company/vericast","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Antonio, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":130000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rancher","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"Trino","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-10-07T16:26:48Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T01:35:49Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.\n Vericast is seeking a motivated Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow and collection into our Data Lake environment.\nThe Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available throughout ongoing projects. The ideal candidate is self-directed and comfortable supporting the data needs of multiple teams, systems, and products.\nThis role is a great fit for someone who enjoys working in an agile team environment and contributing to high-quality, data-driven marketing products in close collaboration with developers and business partners.\nKey Duties & Responsibilities\nDevelop scalable data pipelines and build new integrations to support continued growth in data volume and complexity.\nBuild a robust Data Lakehouse that supports Vericast's marketing solutions business and financial institution clients, including pre-sales, campaign execution, and campaign performance analysis and benchmarking.\nCollaborate with AI, Analytics, and business teams to improve data models that feed AI and analytics tools, increasing data accessibility and fostering data-driven decision-making across the organization.\nImplement processes and systems to monitor data quality and ensure the availability and accuracy of production data for key stakeholders and dependent business processes.\nPerform data analysis to troubleshoot data-related issues and support their resolution.\nProvide post-deployment support, responding quickly to resolve unexpected production issues.\nPartner with business units and engineering teams to shape long-term data platform architecture strategy.\n Education\nBachelor's degree in Computer Science, Information Technology, or a related field, with 5+ years of relevant experience; or\nMaster's degree in Computer Science, Information Technology, or a related field (preferred).\nExperience\n5+ years of experience in Data Engineering, ETL development, or Data Platform Engineering.\nExperience working within a Financial Institution (FI), Banking, FinTech, MarTech, AdTech, Marketing Services, or Marketing Agency environment.\nExperience supporting customer, campaign, audience, marketing performance, attribution, advertising, or transactional data at scale.\nStrong experience with Python and PySpark for building production-grade data pipelines.\nExperience designing, building, and supporting Data Lakehouse environments.\nExperience working with Apache Airflow, Iceberg, Hive, S3, and Trino.\nExperience with cloud platforms such as AWS, Azure, or GCP.\nExperience with Agile software development methodologies.\nExperience with GitLab and CI/CD processes.\nExperience supporting AI and machine learning applications.\nUnderstanding of machine learning models and the data requirements needed to support Data Science teams. Preferred\nExperience building REST APIs. Preferred\nKnowledge, Skills & Abilities\nStrong programming skills in object-oriented/functional scripting languages such as Python and PySpark for building data pipelines, with experience in testing, logging, and ensuring data observability.\nExperience with distributed systems and parallel data processing using big data tools such as Spark, PySpark, Hadoop, Kafka, and Hive. \nProficiency with relational databases. \nStrong knowledge of Linux/Unix-based systems. \nStrong experience with Iceberg, Hive, S3, and Trino. \nExperience building data pipelines with orchestration tools such as Apache Airflow.\nHands-on experience with Apache Ranger and Rancher/Kubernetes. \nExcellent analytical, conceptual, and problem-solving skills.\nStrong communication skills that promote cross-team collaboration.\nExperience supporting data requirements for AI applications. (Preferred)\nUnderstanding of machine learning models and algorithms, with the ability to interface with the Data Science team. (Preferred)\nExperience building REST APIs. (Preferred)\n Salary range: $130,000 - $150,000\nApplications will be accepted until the posted deadline October 20, 2026 or until a sufficient candidate pool has been identified\nThe ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities\nVericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!\nAt Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at . EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf","description_format":"text","description_chars":6094,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["401k plan","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Advertising","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-07T17:09:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":27,"reasons":["conf:0","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/vericast-senior-data-engineer-2","json_url":"https://alion.io/job/vericast-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-11T04:00:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2244,"day_limit":5000,"remaining_today":2756,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4777},"rest":"https://alion.io/mcp/rest/get_company?id=4777"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvericast-senior-data-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvericast-senior-data-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvericast-senior-data-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/vericast-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvericast-senior-data-engineer-2"}]}