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Weekend Data Engineer Internship Jobs in Michigan

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The ideal candidate will bring internship or early professional experience in data engineering, business analytics, cloud data platforms, and modern ELT/ETL practices. This role will work closely ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Provides 24-hour on call support, including evenings and weekends * Performs other duties as ...

Slate Auto

Software/Data Rotational Program

Troy, MI · On-site

$108K - $130K/yr

Prior engineering internship or co-op experience within automotive or related technical environments preferred. * Undeniable passion in automotive engineering and emerging vehicle technologies.

Recar

Software/Data Rotational Program

Troy, MI

$108K - $130K/yr

Prior engineering internship or co-op experience within automotive or related technical environments preferred. * Undeniable passion in automotive engineering and emerging vehicle technologies.

Corning

$104K - $142K/yr

... work, internships, bootcamps, or self‑directed learning. 3+ years of experience in AI/ML, data engineering, or applied analytics in a production environment. Hands‑on experience building ...

HTC Global Services

Software Engineer

Auburn Hills, MI · On-site

The ideal candidate will bring a strong foundation in technology, business analysis, data, systems ... Completion of an internship, graduate program, rotational program, academic project, or early ...

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Weekend Data Engineer Internship information

What is the difference between Weekend Data Engineer Internship vs Weekend Data Analyst Internship?

AspectWeekend Data Engineer InternshipWeekend Data Analyst Internship
Required SkillsData pipeline development, SQL, Python, cloud platformsData visualization, SQL, Excel, basic analytics
Work EnvironmentTechnical teams, data engineering projectsBusiness teams, reporting and analysis tasks
Industry UsageTech, finance, e-commerceMarketing, retail, consulting

The Weekend Data Engineer Internship focuses on building and maintaining data pipelines and infrastructure, requiring technical skills like Python and cloud platforms. In contrast, the Weekend Data Analyst Internship emphasizes analyzing data and creating reports, with skills in visualization and Excel. Both roles are part-time, involve working with data teams, and are common in various industries, but they serve different functions within data management and analysis.

What cities in Michigan are hiring for Weekend Data Engineer Internship jobs? Cities in Michigan with the most Weekend Data Engineer Internship job openings:
Weekend Data Engineer Internship jobs near you
Data Engineer

Data Engineer

HTC Global Services

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Associate Data Engineer - Voice of the Customer Analytics
Position Overview
The Associate Data Engineer will support data engineering, analytics, and reporting initiatives for Voice of the Customer and related business programs. This role is designed for an early-career data professional with strong hands-on experience building data pipelines, supporting data quality, working with cloud-based data platforms, and partnering with analytics and business teams to deliver reliable data for reporting, dashboards, and business insights.
The ideal candidate will bring internship or early professional experience in data engineering, business analytics, cloud data platforms, and modern ELT/ETL practices. This role will work closely with business stakeholders, analytics teams, and technical teams to help collect, transform, validate, document, and deliver data that supports customer experience, operational reporting, and decision-making.
Key Responsibilities
  • Support development and maintenance of data pipelines used for customer insights, reporting, analytics, and business intelligence.
  • Assist with data ingestion, transformation, validation, and refresh processes across cloud and data warehouse platforms.
  • Build and maintain SQL-based data models, data transformations, and reporting-ready datasets.
  • Support data quality checks, testing, reconciliation, and issue resolution to improve trust in downstream reporting.
  • Partner with analytics, operations, and business stakeholders to understand data needs and translate them into technical requirements.
  • Help document data flows, data lineage, data contracts, transformation logic, and reporting dependencies.
  • Support dashboards, reporting datasets, and analytics outputs used by business and leadership teams.
  • Assist with automation of manual data refresh, validation, and reporting processes.
  • Use version control and development best practices to support repeatable and reliable data delivery.
  • Collaborate with cross-functional teams to troubleshoot data issues, improve pipeline reliability, and support timely delivery of analytics solutions.
  • Continue building technical depth across cloud platforms, data engineering tools, business analytics, and customer data use cases.

Required Qualifications
  • Bachelor's degree in engineering, analytics, computer science, information systems, data science, business analytics, or a related field.
  • Internship, academic project, or professional experience in data engineering, analytics engineering, business analytics, or data pipeline development.
  • Strong SQL skills with experience querying, transforming, validating, and analyzing data.
  • Experience with Python or PySpark for data processing, automation, testing, or analytics.
  • Exposure to cloud data platforms or cloud services such as AWS, GCP, Snowflake, BigQuery, Databricks, or similar.
  • Experience or academic exposure to ETL/ELT pipelines, data warehousing, data modeling, or reporting datasets.
  • Understanding of data quality, testing, documentation, and data validation practices.
  • Ability to work with business and technical teams to gather requirements and support reporting or analytics needs.
  • Strong analytical, problem-solving, communication, and documentation skills.
  • Ability to learn quickly, take ownership, and work in a collaborative team environment.

Preferred Qualifications
  • Experience with Snowflake, dbt, AWS Glue, S3, Airflow, Terraform, Git, or similar modern data engineering tools.
  • Exposure to customer analytics, Voice of the Customer, survey data, customer feedback, product quality, or business operations data.
  • Experience supporting dashboards or reporting solutions using Tableau, Power BI, Superset, or similar BI tools.
  • Experience with data contracts, data lineage, data quality checks, or automated validation.
  • Exposure to CI/CD or version-controlled data pipeline development.
  • Cloud certification such as AWS Solutions Architect Associate, Google Associate Cloud Engineer, or similar.
  • Experience with machine learning pipelines, predictive analytics, NLP, or customer sentiment/defect analysis is a plus.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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