{"id":1620159,"url":"https://alion.io/job/flow-control-group-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3863684,"name":"Flow Control Group","domain":"flowcontrolgroup.com","url":"https://alion.io/company/flow-control-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":50,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-05T05:45:15Z"}},"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":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":210000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-04T04:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-05T22:49:56Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"FCG is seeking a Senior Data Engineer to work on our Central Data Platform team, utilizing Snowflake, dbt, and Fivetran, and responsible for end-to-end ELT development from ingestion of raw source system data through our integrated and data consumption layers in Snowflake. This role provides data analysis of raw and transformed data, documents source-to-target mappings, provides Snowflake platform expertise, develops and tests data transformations in dbt, and continues to evolve our dbt and Snowflake environments, including architecture, performance tuning, job monitoring, troubleshooting, and environment management. The Senior Data Engineer works as part of a multi-functional team of data professionals focused on delivering data and evolving our technical infrastructure and processes to help deliver reliable, quality data to our business stakeholders.\nKey Responsibilities:\nTechnical Expertise: Provide technical expertise in all capabilities of dbt and Snowflake. \nDevelopment: Design, build, and manage data transformations in dbt. Create reusable components and templates and proof-of-concept solutions. Develop and manage data pipelines as needed. Implement functionality in Snowflake.\nSource to Target Mappings: Work with data team members to analyze source data and identify transformation requirements to move data to our data warehouse and data marts.\nData Integration: Design robust, reliable, scalable, and performant systems for large-volume data processing. Help drive decisions on data architecture and engineering best practices.\nData Observability: Develop and enhance monitoring of workflows and processes.\nSolution Design: Collaborate with technical teams to design and implement solutions that meet business requirements and align with best practices.\nSecurity: Design security standards and ensure proper implementation of security. \nPerformance: Ensure our data warehouse processing is optimized for performance. Collaborate with team members to ensure data loads and transformations flow through the system to deliver data according to requirements.\nSupport: Provide comprehensive technical support for data warehouse processing.\nTesting and Validation: Develop testing frameworks for solutions to ensure that solutions meet requirements and perform as expected.\nMetadata: Work with business users, technical teams, and data stewards to create documentation and metadata to support understanding of data warehouse processing. \nContinuous Improvement: Identify opportunities for process improvements and system enhancements to increase efficiency and effectiveness.\nQualifications:\nExperience:\nMinimum 5+ years of experience developing and scaling dbt projects.\nMinimum 5+ years of experience with Snowflake.\nProven experience designing and implementing dbt transformations in large-scale enterprise analytics environments.\nDeep knowledge of all aspects of the Snowflake environment, from databases to security and AI capabilities.\nExperience working with data pipeline tools like Fivetran.\nProven experience designing and managing security requirements.\nExperience in supporting data engineering applications.\nMinimum of 5 years working with cross-functional teams and managing multiple projects and priorities.\nAdditional Technical Skills:\nExpert in SQL and data analysis.\nExperience with Python and AI.\nStrong understanding of data integrations, data warehousing, data modeling, and data engineering.\nExpert at creating architecture diagrams and documenting requirements and design details.\nFamiliarity with Azure and cloud architectures.\nRequired Analytical Skills:\nExcellent problem-solving skills and attention to detail.\nAbility to analyze complex business processes and translate them into technical requirements.\nEvaluate performance, traceability, and usability in all designs.\nExpertise working to implement data warehouses, data marts, and analytic datasets that align with business objectives.\nAbility to analyze data from disparate sources to identify gaps in data or definitions.\nAbility to effectively test data products and analyze data by looking for patterns and anomalies in the data that impact deliverables.\nEnsure alignment with data standards and data governance.\nCommunication Skills:\nStrong verbal and written communication skills.\nAbility to effectively communicate with technical and non-technical stakeholders.\nPersonal Attributes:\nTeam Player: Ability to work collaboratively in a team environment.\nAdaptability: Comfortable working in a fast-paced and dynamic environment.\nSelf-Motivated: Proactive and able to work independently with minimal supervision.\nCustomer Focus: Strong commitment to delivering high-quality service to internal and external 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