Data Engineer

Data Engineer Anywhere

Type: Contract

Category: Engineer

Industry: Retail

Workplace Type: Remote

Reference : JN -

Date Posted: 01/19/2026

Shortcut:

Remote

Our client is a global food manufacturer based in the Northeastern United States. The organization delivers consumer products at scale and invests in modern data capabilities to support decision making.

Due to client requirements, applicants must be willing and able to work on a w2 basis. 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: $65.00 to $80.00/hr. w2

• Design, build, and maintain scalable data pipelines using Databricks and Azure Data Factory.
• Develop and optimize Snowflake data models following data warehousing best practices.
• Implement ELT and ETL processes to transform raw data into analysis‑ready formats.
• Create and maintain dimensional models and semantic layers for business analytics.
• Build and maintain Python backend APIs for data access and integration.
• Write clean, production‑ready Python code with documentation and tests.
• Develop RESTful APIs that connect data infrastructure to applications and tools.
• Implement data validation, quality checks, and monitoring solutions.
• Leverage Azure services including Data Lake, SQL, and Functions for data solutions.
• Implement CI/CD pipelines and infrastructure as code for data workflows.
• Manage and optimize cloud resources for cost and performance.
• Ensure data security, governance, and compliance standards.
• Partner with analysts, scientists, and business stakeholders to gather requirements.
• Translate business needs into technical data solutions.
• Document pipelines, processes, and architecture.
• Participate in code reviews and promote engineering best practices.

• 3 to 5+ years as a Data Engineer or similar role.
• Proficiency in Python for data engineering and backend development.
• Extensive experience with Databricks including PySpark, Delta Lake, and workflows.
• Hands‑on Snowflake experience with data modeling, optimization, and SnowSQL.
• Experience with Azure services such as ADF, ADLS, and Azure SQL.
• Strong SQL skills and relational database expertise.
• Experience with Git and collaborative development.
• Deep understanding of data modeling, data warehousing, and ETL/ELT patterns.
• Knowledge of data formats such as Parquet, Avro, and Delta and their use cases.
• Experience building and optimizing data pipelines at scale.
• Understanding of data quality, governance, and security principles.
• Experience with dbt for transformation workflows (preferred).
• Knowledge of streaming technologies such as Kafka, Event Hubs, or Databricks Streaming (preferred).
• Familiarity with orchestration tools such as Airflow or Azure Data Factory (preferred).
• Experience with data visualization tools such as Power BI, Tableau, or Looker (preferred).
• Understanding of Data Ops and agile methodologies (preferred).
• Experience with infrastructure as code such as Terraform or ARM templates (preferred).
• Knowledge of data mesh or data lakehouse architectures (preferred).

• Azure certifications such as Azure Data Engineer Associate or Databricks certifications (preferred).

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI‑assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its…