{"id":2095661,"url":"https://alion.io/job/pumpman-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3866796,"name":"PumpMan","domain":"pumpman.com","url":"https://alion.io/company/pumpman-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":193000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Master Data Management","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Iceberg","optional":true},{"name":"dbt","optional":true},{"name":"Delta Lake","optional":true},{"name":"Fivetran","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-29T07:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T02:41:01Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Harrington Process Solutions is looking for an experienced Senior Data Engineer to join our growing Data, Analytics, and Integration team. This is a senior, hands-on role for someone who can help shape our long-term data architecture while also rolling up their sleeves to build pipelines, develop in Snowflake, write SQL, and solve complex data challenges.\nYou’ll work across our ERP data, Master Data Management (MDM), and Snowflake environments, helping bring these workstreams together into a scalable and reliable enterprise data platform.\nWhat You’ll Do\nHelp design Harrington’s long-term data lakehouse/data warehouse architecture.\nDesign, build, and optimize our Snowflake data warehouse, including schemas, security, performance, and cost management.\nDevelop Bronze, Silver, and Gold data layers using medallion architecture principles.\nBuild and maintain data pipelines using Azure Data Factory, Snowflake, and other modern data tools.\nPartner with our MDM team to support Profisee integrations, data quality, and golden-record pipelines.\nDevelop complex SQL, views, stored procedures, validation logic, and KPI queries.\nHelp migrate downstream applications from direct SQL feeds to a trusted Snowflake data path.\nProvide technical guidance and mentorship to other engineers and developers.\nEstablish engineering standards and support data governance, lineage, access controls, and documentation.\nPartner with external vendors and ensure solutions align with Harrington’s long-term architecture.\nWhat We’re Looking For\n7+ years of data engineering experience with exposure to data architecture.\nBachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent experience.\nStrong hands-on experience with Snowflake, including performance tuning, Snowpipe, Streams, Tasks, and cost optimization.\nExperience designing data warehouses/lakehouses and medallion architecture.\nStrong experience with Azure Data Factory, Azure Data Lake, and/or Azure Functions.\nAdvanced SQL skills and experience building production data pipelines.\nStrong understanding of data modeling and schema design.\nAbility to communicate technical decisions to both technical and non-technical audiences.\nExperience mentoring or guiding other engineers.\nPreferred Experience\nExperience with Profisee or other MDM platforms, Apache Iceberg or Delta Lake, Fivetran, dbt, Python, Power BI, semantic layers, and data governance tools is a plus. 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