About Midwestern:
As a Data Engineer at Midwestern Interactive, you’ll be a contracted Midwestern team member embedded in product teams that range from early‑stage startups to global enterprises—working remotely from LATAM in US time zones. We believe every great vision needs a great team, and for 13 years we’ve supplied the engineers, designers, and product leaders who flex with each client’s roadmap.
Proof? 120 + customers served, $450 M raised by clients, Inc. Best Workplace honors, and 90 % voluntary retention over the past three years. Our mission, “Serve Each Other, Serve Our Clients,” guides both the way we deliver and the way we support you, letting you focus on building products that matter. Ready to make an impact? Let’s talk.
Details:
- Work remote
- Contract opportunities can vary in a number of ways, including:
- Hours: Full-time, part-time, or project-specific hours
- Length: small projects to long-term evergreen needs
- Type: typically 1099 contracts, the occasional contract-to-hire or full-time permanent W2 opportunity
- Industry: Saas products in a wide range of verticals
- Seeking English-speaking nearshore LATAM-based candidates who can work with US-based clients.
Responsibilities:
- Manage inbound and outbound data pipelines that ingest client data and produce results in realtime; requires flexible inbound and outbound configurations and flexible data mapping within a distributed system.
- Working with Java, Kafka, and event driven systems.
- Designing data structures and modeling and mapping data.
- Working with, or a willingness to dive into Neo4j.
- Working with, or a willingness to dive into serverless architecture.
- Writing unit and integration tests.
- Releasing software into production and validating functionality.
- Contributing to deployment automation.
- Identifying the need for and build internal tools to help the developer experience.
- Specific responsibilities will vary based on individual client needs.
Qualifications:
Our clients vary in their use of data tools and needs. We know you won't be an expert in all of them, but we're looking for data engineers with:
- 5+ years of dedicated Data Engineering experience with a strong focus on:
- Programming: Python (PySpark), Scala (Spark), Java, and advanced SQL.
- Big Data Processing: Apache Spark (batch & streaming), Apache Flink, Apache Kafka.
- Orchestration: Apache Airflow, Prefect, Dagster.
- Data Warehousing & Lakes: Snowflake, BigQuery, Redshift, S3, ADLS, GCS, along with Delta Lake/Iceberg/Hudi.
- Databases: Expertise with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
- Proven ability to design, build, and maintain scalable ETL/ELT pipelines.
- Deep understanding of data modeling (relational & NoSQL).
- Strong expertise with major cloud data platforms (AWS, Azure, GCP) and their relevant services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow).
- Familiarity with DevOps principles and tools like Docker, Kubernetes concepts, and Infrastructure as Code (Terraform).
- Experience with CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions).
- Working knowledge of Git and Agile methodologies.
- Experience working with US-based clients.
- C1 (Advanced) level English proficiency.
Personal Skills:
- Peer and client conversationalist.
- Advanced ability to communicate with humans of all types.
- Writing and editing skills for quality control purposes.
- Excellent organizational skills/time management.
- Ability and desire to continually learn, grow, and help others.
- Must be able to communicate effectively written and verbally in English.
Hiring Process:
- Application: Complete our questionnaire and attach your resume.
- Google Meet Screen: We’ll get to know each other during a 15-20 minute call with our Talent Acquisition team.
- Technical Interview: Meet with a team lead to talk through your technical experiences.
- Join our Network: Contractors who are selected to join our pool will be invited to join our slack community where they'll have first eyes on incoming opportunities with Midwestern clients.
Clients We've Worked With:
Equal Employment Opportunity Policy:
It is the continuing policy of Midwestern Interactive to provide equal opportunity employment to all employees and applicants, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other legally protected status. This policy applies to all employment decisions, including those in connection with recruitment, hiring, placement, training, promotion, compensation, benefits, termination, and all other terms and conditions of employment.