{"id":2581019,"url":"https://alion.io/job/focuskpi-data-engineer-focuskpi-inc-","title":"Data Engineer - FocusKPI Inc.","company":{"id":3884001,"name":"FocusKPI","domain":"focuskpi.com","url":"https://alion.io/company/focuskpi","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":45,"max":55,"currency":"USD","period":"hour","gross":null,"usd_annual":110000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T01:56:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T01:56:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"FocusKPI is looking for a Data Engineer to join our client's growing team and to help build and improve the data systems that power decision-making. You’ll develop reliable pipelines and platform capabilities while growing your ownership of production data systems and the business outcomes they support.\nData is central to how the client builds products, manages risk, understands our members, and makes decisions. In this role, you’ll work alongside experienced Data Engineers and partners across Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering. You’ll own well-defined data engineering projects from implementation through production support and help make our platform more reliable, scalable, and efficient. You’ll also have opportunities to apply AI-assisted development tools and support emerging AI initiatives as they evolve how they build and use data.\nWork Location: 100% remote\nDuration: 4-6 months/ 40 hrs per week\nPay Range: $45 - $55/hr\n**No C2C resumes are considered**\nResponsibilities:\nBuild, maintain, and improve reliable data pipelines that ingest, transform, and deliver data across the client's data platform.\nOwn data engineering projects and pipelines through implementation, testing, deployment, monitoring, troubleshooting, and ongoing support.\nWork with Snowflake, dbt, Airflow/Cloud Composer, APIs, files, and cloud services to support production workloads and optimize them for reliability, performance, scalability, and cost.\nSupport warehouse development through thoughtful schema design, data modeling, testing, documentation, data quality practices, and query optimization.\nImprove ingestion, orchestration, validation, retries, backfills, monitoring, and alerting while helping reduce recurring operational work.\nUse AI-assisted engineering tools thoughtfully to accelerate development, debugging, documentation, and analysis while maintaining strong standards for accuracy, security, review, and engineering judgment.\nOwn end-to-end data lifecycle management - From ingestion and transformation to modeling, orchestration, and serving layers.\nEnsure data quality, governance, and reliability - Implement testing frameworks, observability, monitoring, lineage, and data validation practices.\nDrive platform optimization and cost efficiency - Continuously improve performance, scalability, and cloud cost management across the data ecosystem.\nEstablish engineering best practices - CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.\nPartner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions\nQualifications:\nBachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.\n4-5 years of industry experience in software or data engineering, including experience building or supporting production data systems.\nStrong programming skills in Python, Java, or another general-purpose language, plus strong SQL skills.\nExperience building or maintaining ETL/ELT pipelines and working with technologies such as dbt, Fivetran, or similar tools.\nHands-on experience building production pipelines for file ingestion into a data warehouse.\nExperience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and orchestration tools such as Airflow or Cloud Composer/ Good experience with Airflow.\nUnderstanding of data modeling, data quality, relational data, andquery andperformance optimization.\nStrong software engineering fundamentals, including version control, testing, code reviews, and CI/CD.\nAbility to troubleshoot production systems methodically and communicate effectively with technical and business partners.\nExperience in Financial Services or FinTech preferred\n **No C2C resumes are considered**\nThank you!\nFocusKPI Hiring Team\nFounded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.\nNOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. 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