Data Engineer

• Support development and operation of ETL workflows for large-scale data migration efforts
• Execute data extraction, transformation, cleansing, normalization, and validation tasks
• Conduct detailed data mapping from legacy systems to target schemas and environments
• Operate within established migration pipelines and support automation improvements
• Perform data integrity checks, completeness assessments, and error resolution
• Support quality assurance activities for migrated datasets, ensuring accuracy and fidelity
• Assist in documenting data issues, anomalies, and corrective measures
• Work closely with Senior Data Migration Engineers, Data Engineers, DevSecOps teams, QA engineers, and cloud architects
• Support migration readiness by validating source/target environments and testing pipeline functionality
• Participate in technical reviews, test cycles, and data validation checkpoints
• Maintain documentation of migration steps, ETL processes, schemas, and pipeline behaviors
• Contribute to migration reporting, progress updates, and operational status summaries
• Identify risks, blockers, and dependency issues impacting migration throughput

Data Migration Engineer

• Lead development, enhancement, and optimization of ETL/ELT pipelines for large-scale, multi-source data migration
• Perform complex data extraction, transformation, governance, and cleansing activities supporting high-volume data flows
• Design data mapping frameworks and transformation logic for legacy-to-cloud migration
• Guide automation improvements to increase pipeline throughput, resiliency, and repeatability
• Conduct advanced data integrity analysis, completeness checks, anomaly detection, and error remediation
• Support and lead quality verification for incoming and migrated datasets
• Collaborate with QA/test engineering teams to embed automated validation within pipeline operations
• Coordinate with Cloud Engineers, DevSecOps teams, Data Engineers, Product Owners, and Scrum Masters
• Support readiness testing for migration events, legacy system retirements, and cloud landing zone configuration
• Participate in technical design reviews, sprint planning, backlog refinement, and integration checkpoints
• Provide guidance to mid-level engineers on data migration methods, ETL tools, best practices, and troubleshooting
• Develop and refine reusable templates, mapping documents, and procedural artifacts
• Proactively identify migration risks and propose mitigation strategies
• Create detailed migration documentation, including mapping specifications, data dictionaries, flow diagrams, and SOPs
• Contribute to migration status reporting, dashboard updates, and operational metrics
• Ensure alignment with federal data governance, security, and handling requirements

• Design, develop, and maintain production data pipelines on Databricks using Python, SQL, Apache Spark, and Delta Lake
• Build Bronze-layer ingestion from APIs, relational databases, flat files, cloud storage, and SaaS platforms using dlt and Databricks-native ingestion
• Develop Silver-layer transformations in dbt and Python over Delta Lake to cleanse, standardize, deduplicate, validate, conform, and enrich data
• Create Gold-layer data products including dimensional models, slowly changing dimensions, fact and bridge tables, aggregates, and serving tables
• Produce curated feature and training tables for ML engineering that are versioned and reproducible
• Author and maintain data contracts using the Open Data Contract Standard
• Implement data quality tests for uniqueness, not-null, referential integrity, accepted values, freshness, and business rules
• Orchestrate ingestion and transformation in Dagster Cloud across development, branch, and production deployments
• Apply governance through Unity Catalog and manage credentials through Azure Key Vault
• Implement incremental and merge-based Delta Lake processing and tune Spark jobs, table layouts, and compute
• Troubleshoot production failures, data-quality issues, source-system changes, late-arriving or duplicate data, backfills, and recovery
• Participate in the on-call rotation and perform root-cause analysis
• Build and maintain CI/CD for data assets in Azure DevOps
• Instrument pipelines for freshness, volume, quality, latency, and cost observability with SLA/SLO alerting
• Follow least-privilege access, secrets management, change management, and audit controls
• Participate in code reviews and document architecture, runbooks, and data products
• Collaborate with data architects, analysts, product owners, and business stakeholders to translate requirements into maintainable data solutions

Senior Data Engineer

• Design and execute data migration strategies into Salesforce
• Extract, transform, cleanse, map, and load data from legacy and external systems
• Develop and maintain ETL processes and data migration workflows
• Create data mapping specifications and transformation rules
• Perform data validation, reconciliation, and quality checks
• Support migration testing, troubleshooting, and deployment activities
• Develop and optimize integrations using Salesforce APIs and related technologies
• Work with Salesforce Architects, Developers, and business stakeholders to resolve data issues
• Support migration of large datasets while maintaining data integrity and system performance
• Document migration processes, data mappings, procedures, and results

Data Engineer jobs in Alabama

Data Migration Engineer

Data Migration Engineer

Senior Data Engineer

Salesforce Data Migration Engineer