Data Engineer Team Lead

Job Description

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->

Job Overview

Job ID: J52923

Posted Date: 01/19/2026

--> Specialized Area: Hadoop & Big Data

--> Job Title: Data Engineer Team Lead

Location: St. Paul, MO

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Domain Exposure: Healthcare

--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C Bench Recruiter: Mary.H-Butler

-->

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Job Description:

We are looking at candidates with overall experience of 5-8 years with 1-3 years of strong experience in Python and SQL.

Key Responsibilities:

Advanced Data Analysis:

Perform deep-dive data analysis using SQL, Python, and R to uncover trends, patterns, and actionable insights.

Collaborate with stakeholders to translate business questions into analytical solutions.

ETL & Dashboard Development:

Design, build, and maintain automated ETL pipelines on GCP using tools like Dataflow, BigQuery, and Cloud Composer.

Develop and deploy real-time dashboards using Looker, Data Studio, or other BI tools to support data-driven decision-making.

Workflow Optimization:

Identify and implement opportunities to streamline data workflows across cross-functional teams.

Drive process improvements and automation to enhance data accessibility and reliability.

High-Impact Delivery:

Thrive in a fast-paced, high-impact environment, managing multiple priorities and delivering results under tight deadlines.

Communicate findings and recommendations clearly to both technical and non-technical audiences.

Required Skills & Qualifications:

Proficiency in SQL for complex data querying and transformation.

Intermediate experience with Python and R for data manipulation and statistical analysis.

Hands-on experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.

Experience building automated ETL pipelines and working with streaming data.

Familiarity with dashboarding tools like Looker, Tableau, or Google Data Studio.

Strong problem-solving skills and ability to work independently and collaboratively.

Excellent communication and stakeholder management skills.

Preferred Qualifications

• GCP certification (e.g., Professional Data Engineer).

• Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform).

• Background in data science or machine learning is a plus.

• Apply Now