Integration Specialist

Dauch; Detroit (MI); On-site; USD 110,000 - 140,000; Full time

Job summary

Dauch Corporation, based in Detroit, seeks an Integration Specialist to design, build, and maintain data pipelines, API ecosystems, and streaming architectures powering our platform.

You will collaborate with applications, business users, and data teams to connect systems across the enterprise, ensuring reliable real‑time and batch data flows between internal services and third‑party platforms, with hands‑on expertise in API design, event‑driven streaming, and modern ETL/ELT processes.

Qualifications

• 3–5 years in integration or data engineering roles.
• Proficiency in Python, Java, or PL/SQL.
• Experience building streaming pipelines with Kafka or Kinesis.
• ETL/ELT tools experience: Informatica, Talend, or ODI.
• SQL across relational databases and API security basics.

Responsibilities

• Design, build, and publish RESTful and GraphQL APIs with OpenAPI/Swagger.
• Develop API gateway configs, auth flows, and rate limits.
• Build streaming pipelines with Kafka/Kinesis; monitor health and performance.
• Design and implement ETL/ELT pipelines and orchestrate workflows.
• Collaborate with data architects; optimize schemas for OLTP/OLAP.

Skills

RESTful API design

Streaming pipelines

ETL/ELT orchestration

SQL proficiency

Docker & CI/CD

Backend language

Tools

Kafka

Kinesis

Informatica

Talend

ODI

Snowflake

Job description

Job Description Summary

We are seeking a skilled Integration Specialist to design, build, and maintain the data pipelines, API ecosystems, and streaming architectures that power our platform. In this role, you will collaborate with various applications, business users and data teams to connect systems across the enterprise, ensuring reliable, real-time, and batch data flows between internal services and third-party platforms. You will bring hands‑on expertise in API design and integration, event-driven streaming, and modern ETL/ELT processes, combined with deep familiarity with contemporary data platforms and databases.

Job Posting Title

Integration Specialist

Job Description Summary

We are seeking a skilled Integration Specialist to design, build, and maintain the data pipelines, API ecosystems, and streaming architectures that power our platform. In this role, you will collaborate with various applications, business users and data teams to connect systems across the enterprise, ensuring reliable, real-time, and batch data flows between internal services and third-party platforms. You will bring hands‑on expertise in API design and integration, event-driven streaming, and modern ETL/ELT processes, combined with deep familiarity with contemporary data platforms and databases.

API Design & Integration

• Design, build, and publish RESTful and GraphQL APIs adhering to OpenAPI/Swagger standards.
• Develop and maintain API gateway configurations, authentication flows (OAuth 2.0, API keys, JWT), and rate-limiting policies.
• Integrate third-party SaaS platforms, microservices, and internal applications using synchronous and asynchronous communication patterns.
• Create and maintain comprehensive API documentation, versioning strategies, and deprecation policies.

Streaming & Event-Driven Integration

• Build and maintain real‑time streaming data pipelines using platforms such as Apache Kafka, Confluent, or AWS Kinesis.
• Monitor streaming pipeline health, manage topic configurations, and tune consumer/producer performance for high-throughput scenarios.
• Work with stream processing frameworks to perform transformations, aggregations, and enrichment of in-flight data.

ETL / ELT Pipeline Development

• Design and implement robust ETL and ELT pipelines to ingest, transform, and load data across operational and analytical systems.
• Orchestrate data workflows.
• Handle incremental loads, change data capture (CDC), and full refresh strategies based on business and performance requirements.
• Implement data quality checks, validation frameworks, and alert to ensure integrity throughout the pipeline.

Data Platforms & Database Engineering

• Work with modern cloud data platforms such as Snowflake , Oracle or Azure Synapse Analytics.
• Optimize relational database queries (PostgreSQL, MySQL, SQL Server) and NoSQL stores.
• Collaborate with data architects to design schemas optimized for both OLTP and OLAP workloads.
• Participate in database performance tuning, index strategies, and query optimization initiatives.

Collaboration & Operations

• Partner with software engineers, data engineers, and architects to understand integration requirements and translate them into technical solutions.
• Participate in design reviews, code reviews, and sprint planning within an Agile/Scrum delivery framework.
• Contribute to incident response, root‑cause analysis, and post‑mortems for integration failures.
• Maintain runbooks, architectural diagrams, and integration inventories as living documentation.

Required Qualifications

Required Skills and Education

• 3–5 years of professional experience in integration engineering, data engineering, or a closely related software engineering role.
• Proficiency in at least one backend language commonly used for integration work (Python, Java, PLSQL).
• Strong understanding of RESTful API design principles, HTTP semantics, and API security standards.
• Demonstrated experience building and maintaining streaming data pipelines with Kafka, Kinesis, or equivalent technologies.
• Hands‑on ETL/ELT experience using at least one major orchestration platform (Informatica, Talend, ODI).
• Working knowledge of at least one cloud data warehouse or lakehouse platform.
• Solid command of SQL across relational databases.
• Experience with containerization (Docker) and familiarity with CI/CD pipelines for integration artifacts.
• Ability to read and produce clear technical documentation, data flow diagrams, and API contracts.

Preferred Qualifications

• Experience with GraphQL API design and federation patterns.
• Familiarity with schema registries and data serialization formats such as Avro or JSON Schema.
• Exposure to data mesh or data fabric architectural patterns.
• Relevant cloud certifications (AWS, Azure, or GCP) in data or integration services.
• Prior experience working with iPaaS platforms such as MuleSoft or Informatica.

About Dauch

Dauch Corporation is a premier Driveline and Metal Forming supplier serving the global automotive industry with a powertrain‑agnostic product portfolio that supports electric, hybrid, and internal combustion vehicles. The company is headquartered in Detroit, MI, with operations that span 24 countries and more than 175 locations. Formed through the acquisition of Dowlais Group plc and its subsidiaries - GKN Automotive and GKN Powder Metallurgy, Dauch unites deep engineering roots with global manufacturing capabilities and an entrepreneurial spirit to move mobility forward. Visit www.dauch.com to learn more.

Dauch will not discriminate against any Associate or applicant for employment because of age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. Dauch will take affirmative action to ensure that applicants are employed, and that Associates are treated equally during employment, without regard to their age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. For the Disabled Job Seeker: We offer reasonable accommodations for qualified disabled individuals who are applicants for employment. To request assistance or accommodations, please e‑mail [e-mail]. Dauch is an equal opportunity/affirmative action employer.