Data Engineer

Location: Auburn Hills (MI) | Employment Type: Full Time - 40 hours per week | Job Level: T2 | Work Preference: Hybrid | Job Code: 243478

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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