[Remote] Senior Data Engineer & Analytics Developer - Remote - Banking - W2 - JOBID729

Note: The job is a remote job and is open to candidates in USA. Outcome Logix is a Tech 50 Finalist company recognized by the Pittsburgh Technology Council. They are seeking a Senior Data Engineer & Analytics Developer to design and implement scalable data architectures, build data pipelines, and develop Tableau dashboards for business insights.ResponsibilitiesDeep, hands-on experience with Google BigQuery — including dataset design, partitioning/clustering strategies, materialized views, and cost-optimization techniquesProficiency in Cloud Composer (Apache Airflow) for orchestrating complex, production-grade data pipelines with proper scheduling, retry logic, and dependency managementExperience building and maintaining Vertex AI Pipelines for ML workflows and data transformation at scaleAdvanced SQL skills — able to write complex, performant, and maintainable queries across large datasets including window functions, CTEs, recursive queries, and query optimizationStrong Python proficiency — comfortable building data transformation scripts, pipeline logic, custom Airflow operators, API integrations, and automation toolingProven ability to design layered data architectures using patterns such as Medallion (bronze/silver/gold), Dimensional Modeling (star schema), Data Vault, and targeted denormalization — and knows when to apply each based on the use caseTrack record of building modular, multi-purpose datasets rather than project-specific tables — thinks in terms of canonical models and shared dimensionsUnderstands when to create new tables versus when to extend, view, or restructure existing assets to avoid unnecessary duplication and table sprawlApplies best practices around naming conventions, schema organization, documentation, and lifecycle management so that the architecture remains navigable as it scalesHands-on experience building production-quality Tableau dashboards — from data source configuration and extract optimization to interactive visual designAbility to translate business questions into clear, intuitive visualizations that non-technical stakeholders can self-serve fromFamiliarity with Tableau performance tuning, published data sources, and server/cloud publishing workflowsUnderstands the relationship between upstream data modeling decisions and downstream dashboard performance — designs the data layer with the visualization in mindSkillsDeep, hands-on experience with Google BigQuery — including dataset design, partitioning/clustering strategies, materialized views, and cost-optimization techniquesProficiency in Cloud Composer (Apache Airflow) for orchestrating complex, production-grade data pipelines with proper scheduling, retry logic, and dependency managementExperience building and maintaining Vertex AI Pipelines for ML workflows and data transformation at scaleAdvanced SQL skills — able to write complex, performant, and maintainable queries across large datasets including window functions, CTEs, recursive queries, and query optimizationStrong Python proficiency — comfortable building data transformation scripts, pipeline logic, custom Airflow operators, API integrations, and automation toolingProven ability to design layered data architectures using patterns such as Medallion (bronze/silver/gold), Dimensional Modeling (star schema), Data Vault, and targeted denormalization — and knows when to apply each based on the use caseTrack record of building modular, multi-purpose datasets rather than project-specific tables — thinks in terms of canonical models and shared dimensionsUnderstands when to create new tables versus when to extend, view, or restructure existing assets to avoid unnecessary duplication and table sprawlApplies best practices around naming conventions, schema organization, documentation, and lifecycle management so that the architecture remains navigable as it scalesHands-on experience building production-quality Tableau dashboards — from data source configuration and extract optimization to interactive visual designAbility to translate business questions into clear, intuitive visualizations that non-technical stakeholders can self-serve fromFamiliarity with Tableau performance tuning, published data sources, and server/cloud publishing workflowsUnderstands the relationship between upstream data modeling decisions and downstream dashboard performance — designs the data layer with the visualization in mind5+ years in a data engineering role, with meaningful GCP/BigQuery experienceAdvanced proficiency in Python and SQL as daily working languagesDemonstrated experience designing and maintaining shared, reusable data models in an enterprise or multi-team environmentFamiliarity with data architecture patterns including Medallion, star schema, and Data VaultPortfolio or examples of Tableau dashboards built on well-structured data layersFamiliarity with CI/CD practices for data pipelines and infrastructure-as-code conceptsStrong communicator who can work with cross-functional teams to gather requirements and translate them into scalable data solutionsTerraformCompany OverviewOutcome Logix is a fast-growing Innovative Technology Services firm focused on helping technology/enterprise firms build robust scalable applications or re-engineer existing applications using a range of digital technologies. It was founded in 2020, and is headquartered in Pittsburgh, Pennsylvania, USA, with a workforce of 11-50 employees. Its website is https://www.outcomelogix.com.Company H1B SponsorshipOutcome Logix ( A Tech 50 Finalist company 2025 and 2022, by Pittsburgh Technology Council ) has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2024, 1 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.