Senior Data Engineer
Senior Data Engineer
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$ 140000 - 160000
1 Vacancy
Job Description
Job Title: Senior Data Engineer
Primary Location: Remote (Must reside in NY WDC BOS or CHI)
Position Type: Direct Hire
Overview
TalentFish is casting a line for a Senior Data Engineer. This remote direct hire role must
reside in NY WDC BOS or CHI.
The Senior Data Engineer is responsible for designing building and maintaining modern
data pipelines and integration solutions within the Azure Cloud. This position plays a key
role in enabling enterprise analytics by delivering clean timely and well-structured data to
platforms like Power BI.
What You Bring to the Role. (Ideal Experience)
- 7 years of data engineering or BI development experience
- 3 years building data solutions in Microsoft Azure Cloud
- 2 years using Azure DevOps for automated builds releases and orchestration
- Advanced proficiency in Azure Data Factory Azure Data Lake Storage (Gen2) andAzure Databricks
- Strong SQL and ELT experience; familiarity with data modeling (e.g. star snowflake)
- Hands-on experience with PySpark and Databricks notebooks including Delta Lake workflows
- Experience building and managing CI/CD pipelines using Azure DevOps
- Familiarity with Git branching strategies and Azure Repos
- Understanding of data security and privacy in Azure (RBAC encryption managed identities)
- Experience with structured and semi-structured data formats (Parquet JSON Avro)
- Experience with Power BI datasets and refresh configurations (preferred)
- Familiarity with Microsoft Purview or other data governance/cataloging tools is a plus
- Experience in professional services legal or financial industries is preferred
- Bachelors degree in Computer Science Engineering or a related field
What Youll Do. (Skills Used in this Position)
- Design build and manage scalable data pipelines using Azure ADF ADLS and Databricks
- Develop ELT frameworks to ingest and transform data from on-prem and cloud sources
- Implement CI/CD pipelines with Azure DevOps for code versioning and deployment
- Monitor and optimize pipeline performance using Azure Monitor and Log Analytics
- Support Power BI teams by ensuring performant and structured datasets
- Automate environment setup and permissions using infrastructure-as-code
- Write modular testable code using Python/PySpark
- Perform root cause analysis and production support for data pipelines
- Maintain documentation for data processes and system architecture
- Work within Agile teams participating in sprints standups and retrospectives
- Mentor junior data engineers and champion best practices in DevOps and development
Compensation Information
The expected salary range for this position is 00 per year depending on experience and qualifications. This
role also qualifies for comprehensive benefits such as health insurance 401(k) and paid time off. TalentFish is committed to
pay transparency and equal opportunity. The salary range provided complies with applicable state and federal regulations.
This role requires authorization to work in the U.S. without current or future visa sponsorship.
All offers are contingent upon the completion of a background check which may include but is not limited to reference
checks education verification employment verification drug testing criminal records checks and any required certifications
or compliance requirements based on the end clients background check policies and applicable laws.
About TalentFish
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by
evolving AI video screening and our unique platform. TalentFish focuses on providing the best employee consultant and
client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity
Employment Type
Full Time
