Data Engineer Team Lead

MACHINE LEARNING TECHNOLOGIES LLC; Saint Paul (MO); On-site; USD 96,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in St. Paul, MO is seeking a Data Engineer Team Lead with 5–8 years of data engineering experience and 1–3 years in Python and SQL.

You will design scalable ETL pipelines on GCP, build real-time dashboards, and collaborate closely with stakeholders to translate questions into actionable analytics. You will lead data initiatives, ensure data quality, and communicate insights to both technical and non-technical audiences in a fast-paced environment.

Qualifications

• 5–8 years of data engineering experience with 1–3 years in Python and SQL.
• Hands-on with GCP services such as BigQuery and Dataflow.
• Experience building automated ETL pipelines and dashboards.

Responsibilities

• Perform deep-dive data analysis using SQL, Python, and R to uncover trends and insights.
• Collaborate with stakeholders to translate business questions into analytical solutions.
• Design, build, and maintain automated ETL pipelines on GCP using Dataflow, BigQuery, and Cloud Composer.
• Develop and deploy real-time dashboards using Looker, Data Studio, or other BI tools.
• Identify and implement opportunities to streamline data workflows across cross-functional teams.
• Drive process improvements to enhance data accessibility and reliability.
• Thrive in a fast-paced environment and communicate findings clearly to technical and non-technical audiences.

Skills

SQL

Python

R

GCP

ETL pipelines

BI tools

Tools

BigQuery

Dataflow

Cloud Composer

Pub/Sub

Cloud Functions

Looker

Tableau

Data Studio

Job description

Job Details

Job ID: J52923

Job Title: Data Engineer Team Lead

Location: St. Paul, MO

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

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

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

• 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.
• 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.
• Identify and implement opportunities to streamline data workflows across cross-functional teams.
• Drive process improvements and automation to enhance data accessibility and reliability.
• 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.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract