Data Engineer III

HTC Global Services; Dearborn (MI); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Paid time off

Job summary

HTC Global Services is seeking a Data Engineer III in Dearborn, MI to design, build, and maintain scalable data infrastructure and pipelines. You will work with cloud platforms (GCP, BigQuery) and modern data tooling to collect, store, and analyze large data volumes, collaborating with stakeholders to ensure data quality and governance.

The role emphasizes ingestion pipelines, data models, and automated processes, with opportunities to drive efficiency and innovative data solutions across the

Qualifications

• 7+ years of data engineering experience.
• Bachelor's degree required.
• Experience with Google Cloud Platform (GCP) and BigQuery.
• Experience with Kafka and cloud-based data platforms.
• Strong SQL, Python, Java, and APIs experience.
• Familiarity with Agile development and data governance.

Responsibilities

• Design, build, and maintain scalable data infrastructure and pipelines.
• Develop and manage cloud-based data platforms for ingestion and curation.
• Collaborate with stakeholders to define data requirements and solutions.
• Implement data governance, security, and IaC practices.
• Optimize data quality, performance, and cost-efficiency.

Skills

Data engineering

Big data

Python

Java

SQL

APIs

Agile

Cloud architecture

AI / Expert systems

Education

Bachelor's degree

Tools

GCP

BigQuery

Cloud Run

Kafka

Dataflow

Pub/Sub

Cloud Functions

DBT/Dataform

IaC

Job description

Job Description

Data Engineer III

Overview / Summary

We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.

This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives.

Key Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements.
• Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
• Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications.
• Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data.
• Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation.
• Develop and maintain scalable data ingestion and curation pipelines from diverse data sources.
• Standardize and optimize data for analytical use while maintaining data quality.
• Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines.
• Utilize GCP services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms.
• Implement and manage data governance policies, access controls, and security best practices.
• Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices.
• Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
• Identify opportunities to improve resource utilization and cost-effectiveness.
• Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
• Automate data platform processes to improve reliability, data quality, and operational efficiency.
• Communicate complex technical decisions clearly to technical and non-technical stakeholders.
• Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities.
• Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability.

Required Qualifications

• 7+ years of experience in Data Engineering.
• Bachelor's degree.
• Experience with Google Cloud Platform (GCP).
• Experience with GCP Cloud Run and BigQuery.
• Experience with Kafka.
• Experience with cloud architecture and cloud computing.
• Experience with software development and application development.
• Experience with SQL.
• Experience with Big Data technologies.
• Experience with Java.
• Experience with Python.
• Experience with application testing.
• Experience with Agile software development.
• Experience with APIs.
• Experience related to Artificial Intelligence and Expert Systems.

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.