{"id":774527,"url":"https://alion.io/job/indicium-data-engineer-consultant","title":"Data Engineer Consultant","company":{"id":678451,"name":"Indicium","domain":"indicium.com","url":"https://alion.io/company/indicium","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":59,"open_postings":28,"ghost_share":0.679,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Snowflake","optional":true},{"name":"Teradata","optional":true}],"status":"live","first_seen_at":"2026-09-03T13:33:03Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-11-01T03:36:20Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":57},"description":"Data Engineer Consultant (US Delivery Team)\nThe Opportunity\nAs a Data Engineer Consultant on our US team, you will build and deploy production-grade data pipelines for major enterprise clients. You will spend your day-to-day writing code, modernizing brittle legacy setups into cloud-native Lakehouses, and making client data clean, fast, and ready for AI applications.\nIn this role, you will work directly with modern technologies like Databricks, dbt, Python, and Terraform, collaborating with technical clients and our global engineering squads to ship solutions in weeks, not months.\nKey Responsibilities\nBuild Lakehouse Modernization Pipelines: Convert legacy data setups (Informatica, PL/SQL, legacy data warehouses) into high-performance PySpark, Databricks SQL, and Delta Live Tables (DLT) using Medallion Architecture standards (Bronze, Silver, Gold).\n\nData Modeling & Transformation: Write clean, modular, and tested dbt models and advanced SQL to transform raw client data into trusted, business-ready datasets.\n\nAutomate Infrastructure (DataOps): Use Terraform to provision cloud resources (AWS/GCP) programmatically and enforce data governance using Unity Catalog.\n\nIntegrate & Orchestrate: Build and monitor automated ELT/ETL workflows using tools like Apache Airflow and Databricks Workflows, ensuring data quality, lineage, and strict SLA compliance.\n\nClient Engagement & Collaboration: Embedded directly within client projects, participating in daily standups, code reviews, and working closely with our nearshore delivery squads to deliver on time.\n\nTroubleshoot & Optimize: Debug failing pipelines, tune complex SQL/Spark queries for performance, and reduce cloud computing costs for our clients.\n\nQualifications & Requirements\nTechnical Stack\nHands-On Data Engineering: Strong background writing production code in Python and advanced SQL.\n\nDatabricks Experience: Hands-on experience building on the Databricks Lakehouse platform (Delta Lake, PySpark, Unity Catalog, Workflows).\n\ndbt Mastery: Solid experience using dbt for data transformation, testing, and documentation.\n\nInfrastructure as Code (IaC): Practical experience writing Terraform scripts to deploy AWS or GCP cloud data infrastructure.\n\nOrchestration & Version Control: Proficient with Git (GitHub/GitLab) for CI/CD workflows and experience with schedulers like Airflow.\n\nConsulting & Delivery Mindset\nClient-Facing Comfort: Ability to communicate technical decisions clearly to client teams and collaborate in a fast-paced consulting environment.\n\nProblem-Solving Grit: Ability to jump into unfamiliar legacy codebases, figure out how the data flows, and rebuild it cleanly without needing a rigid playbook.\n\nQuality Focus: Passion for writing testable, documented, and reusable code.\n\nNice-to-Haves\nDatabricks, AWS, or dbt certifications.\n\nExperience working on migration projects from legacy warehouses (Teradata, Netezza, Snowflake, Redshift) to Databricks.\n\nFamiliarity with streaming tools like Apache Kafka or CDC (Change Data Capture) pipelines.\n\nThe anticipated base salary range for this role is $120,000 - $175,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. 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