Data Engineer

Title: Senior Data Engineer

Location: Anywhere

Type: Contract-to-Hire
Category: Data
Industry: Manufacturing
Workplace Type: Remote
Reference ID: JN -072026-107976

Job Description:

Remote

Our client is seeking a Senior Data Engineer with hands-on VaultSpeed experience to support and improve the enterprise data integration platform. The role focuses on developing, maintaining, troubleshooting, and optimizing data pipelines across VaultSpeed, Astronomer or Apache Airflow, and Azure Data Factory. The immediate priority is strengthening the current VaultSpeed implementation, improving pipeline reliability, and helping the team establish repeatable data-engineering standards. The role will also participate in evaluating and potentially transitioning portions of the data platform to Databricks. Databricks experience is preferred but is not a substitute for required VaultSpeed expertise.

This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $85.00/hr. w2
Responsibilities:

• Own the technical implementation and ongoing support of VaultSpeed.
• Configure and maintain source-system metadata within VaultSpeed.
• Design and maintain Raw Vault, Business Vault, and downstream data models.
• Develop and maintain Data Vault 2.0 hubs, links, satellites, reference structures, and historization patterns.
• Configure VaultSpeed mappings, parameters, templates, releases, and generated code.
• Review, troubleshoot, and optimize VaultSpeed-generated SQL and loading processes.
• Manage VaultSpeed releases and promote generated data solutions across development, QA, UAT, and production environments.
• Integrate VaultSpeed-generated workloads with Astronomer and Apache Airflow.
• Develop, maintain, and troubleshoot Airflow DAGs, tasks, dependencies, schedules, retries, alerts, and deployment configurations.
• Develop and support Azure Data Factory pipelines, linked services, datasets, triggers, integration runtimes, and parameterized workflows.
• Design reliable batch, incremental, change-data-capture, and event-driven data pipelines.
• Integrate data from ERP, CRM, manufacturing, finance, operational databases, APIs, files, and cloud services.
• Monitor pipeline execution, investigate failures, perform root-cause analysis, and implement permanent corrective actions.
• Implement data validation, reconciliation, observability, lineage, auditing, and data-quality controls.
• Improve pipeline performance, recoverability, scalability, and operational supportability.
• Establish reusable pipeline patterns, coding standards, documentation, and deployment practices.
• Implement source control and CI/CD practices for VaultSpeed, Airflow, ADF, SQL, and related configuration.
• Work with data architects, analysts, application teams, infrastructure, security, and business stakeholders.
• Document source-to-target mappings, data lineage, transformation logic, operational procedures, and support runbooks.
• Mentor other data engineers and transfer VaultSpeed knowledge to the internal team.
• Participate in the technical evaluation and potential adoption of Databricks.

Experience Requirements:

• Five or more years of professional data-engineering, data-integration, or data-warehouse development experience.
• Demonstrated hands-on production experience with VaultSpeed.
• Ability to independently configure, develop, deploy, troubleshoot, and support VaultSpeed solutions.
• Strong understanding of Data Vault 2.0 concepts and implementation practices.
• Experience building and maintaining enterprise ETL and ELT pipelines.
• Strong experience with Astronomer or production Apache Airflow environments.
• Experience developing Airflow DAGs using Python.
• Strong experience with Azure Data Factory.
• Advanced SQL development and troubleshooting skills.
• Experience with relational databases and enterprise data warehouses.
• Experience with incremental loading, change data capture, historization, late-arriving data, and data reconciliation.
• Experience integrating databases, REST APIs, files, cloud storage, and enterprise applications.
• Experience diagnosing pipeline failures and resolving data, code, configuration, infrastructure, and dependency issues.
• Experience implementing pipeline monitoring, logging, alerting, retry, and recovery mechanisms.
• Experience using Git-based source control and CI/CD deployment processes.
• Strong technical documentation and communication skills.
• Ability to work directly with business and technical teams to translate data requirements into maintainable solutions.
• Preferred experience with Databricks, Spark or PySpark, Delta Lake, Lakehouse, Databricks Workflows or Lakeflow, Auto Loader, Unity Catalog, dbt, ADLS Gen2, Kafka, Terraform, Azure DevOps, Microsoft Purview, and supporting manufacturing, ERP, finance, supply-chain, or operational data.

Education Requirements:

Bachelor’s degree in computer science, data engineering, information systems, software engineering, or a related discipline is preferred. Equivalent professional experience will be considered in place of a degree.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.