Senior Data Engineer

Eightelevengroup; Northern, New York (KY, NY); Hybrid; USD 96,000 - 117,000; Part time

Job summary

Eightelevengroup seeks a Senior Data Infrastructure Engineer to design and scale a modern data platform in a largely remote setting. You will own streaming and batch pipelines, primarily on AWS, and collaborate with data engineers and business stakeholders to drive the technical roadmap.

The role emphasizes autonomy, thoughtful architecture, and delivering robust data infrastructure for downstream analytics and forecasting, with an emphasis on long-term retention and data quality across

Qualifications

• Experience designing data architectures for real-time and batch movement on AWS.
• Experience with streaming and change-data-capture tools like Kafka, Flink, Debezium.
• Proficiency with SQL-based source databases (SQL Server, MySQL, Postgres).
• Experience with lakehouse tools and data retention strategies.

Responsibilities

• Design and evolve data architecture supporting both real-time and batch data movement, primarily within AWS.
• Build normalization and transformation pipelines across multiple sources while preserving raw data.
• Implement and manage streaming and batch ingestion using Kafka, Flink, Debezium.

Skills

AWS

Java

Python

Analytical thinking

Tools

Kafka

Flink

Debezium

Terraform

GitHub Actions

Iceberg

AWS Glue

Lake Formation

Job description

Senior Data Infrastructure Engineer

Remote (Eastern or Central time zone preferred)

Contract (Remote)

Compensation: $70 - $85 per hour

ABOUT THE ROLE

We are seeking a Data Infrastructure Engineer to help build and scale a next-generation data platform for a leading Media & Entertainment organization. The platform orchestrates complex data flows, ingestion pipelines from box office vendors, internal metadata applications, and unstructured contract artifacts. You will design, build, and operate the foundational infrastructure that delivers this critical data to key downstream systems and executive decision-makers. As a core engineer on the team, you will collaborate closely with data pipeline developers and business stakeholders to map out our technical roadmap. We are looking for an engineer who thrives on autonomy, is comfortable navigating ambiguity, and wants to own infrastructure initiatives from concept to production.

WHAT YOU'LL DO

• Design and evolve data architecture supporting both real-time and batch data movement, primarily within AWS.
• Build normalization and transformation pipelines that reconcile data from approximately 10 different sources while preserving raw data.
• Implement and manage streaming and batch data ingestion using technologies such as Kafka, Flink, and Debezium.
• Write and maintain infrastructure as code for pipeline components using tools like Terraform.
• Work with streaming technologies to move data in near real-time, alongside batch/export-based ingestion.
• Partner with engineering and business stakeholders to define how retained data supports historical analysis and forecasting.
• Advise on architecture decisions where multiple related projects’ infrastructure overlaps, maximizing reuse and efficiency.
• Collaborate with CRM-focused business solutions teams on data integration points, including platforms like Salesforce.
• Contribute to a diverse, equitable, and inclusive work culture.

WHAT YOU BRING

• Strong hands-on experience with AWS as the primary environment for day-to-day work.
• Experience with streaming and change-data-capture tools (e.g., Kafka, Flink, Debezium).
• Proficiency working with various source databases (SQL Server, MySQL, Postgres).
• Experience with lakehouse architecture and tools (Iceberg, AWS Glue, Lake Formation).
• Familiarity with DuckDB or similar analytical querying tools.
• Experience with Terraform for infrastructure as code.
• Experience with GitHub Actions or similar CI/CD tools.
• Proficiency in Java or Python for data application development.
• Experience designing data normalization and transformation logic across multiple disparate data sources.
• Ability to design for long-term data retention and support downstream analytics/forecasting use cases.
• Exposure to integrating with CRM platforms (e.g., Salesforce) as a data source or destination is a plus.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Excellent verbal and written communication skills.

WHAT'S IN IT FOR YOU

• Work for a globally recognized leader in Media & Entertainment.
• Ownership of core data architecture decisions within a newly forming data engineering initiative.
• Direct influence over how data is structured, retained, and delivered across multiple projects.
• Opportunity to work with large-scale datasets and modern cloud data platforms.
• Grow your career in a fast-paced, innovative environment.
• Be part of a diverse, equitable, and inclusive team culture.

Applications will be accepted through September 25, 2026.