Data Engineer – Domain Lead

Eightelevengroup; Northern, New York (KY, NY); Hybrid; USD 90,000 - 110,000; Full time

Job summary

Eight Eleven Group is seeking a Data Engineer – Domain Lead in New York, NY for a hybrid contract-to-hire role. You will own end-to-end data delivery for a core domain using Databricks on AWS, building bronze, silver, and gold layers, with outputs to S3, and you will oversee an offshore engineering resource.

You will align domain data with enterprise models, partner with BI and data architecture teams, track work in Jira or Azure DevOps, and help shape a scalable data platform in a fast-moving

Qualifications

• 5+ years of experience as a data engineer, with experience overseeing or mentoring other engineers or offshore resources
• Hands-on experience with Databricks and the medallion architecture (bronze/silver/gold)
• Experience with AWS; familiarity with Snowflake or other cloud data warehouses is a plus
• Strong SQL skills and experience with data modeling/schema design at the domain level
• Experience with Jira or Azure DevOps for tracking and managing delivery work
• Exposure to BI concepts or experience working alongside BI engineers on reporting/semantic layers
• Strong analytical and problem-solving skills with exceptional attention to detail
• Excellent verbal and written communication skills
• Comfortable operating with high ownership in a fast-moving, enterprise environment

Responsibilities

• Own end-to-end data delivery for assigned domain(s), from source ingestion through bronze and silver layers in Databricks, with gold outputs landing in S3
• Manage and guide the work of an offshore data/BI engineering resource supporting the domain
• Ensure domain data structures and schemas align to the enterprise-wide data model, avoiding siloed, domain-specific designs
• Partner with BI engineering to support semantic-layer and reporting needs stemming from the domain's data
• Track and manage delivery work in Jira or Azure DevOps
• Collaborate with the Senior Engineering Lead and other Domain Leads to maintain consistency across the data platform
• Troubleshoot data quality, delivery, and pipeline issues within the domain
• Help contribute to a diverse, equitable, and inclusive work culture

Skills

5+ years exp

SQL

Data modeling

BI concepts

Ownership

Communication

Mentoring offshore

Tools

Databricks

Jira

Azure DevOps

Snowflake

Job description

Data Engineer – Domain Lead

New York, NY (Hybrid)

Contract-to-Hire

$65 - $80 per hour

ABOUT THE ROLE

Join a globally recognized Media & Entertainment organization as a Data Engineer – Domain Lead, where you will play a pivotal role in shaping the data delivery pipeline for a core business domain within a newly-forming enterprise data engineering team. This hybrid position, based in New York, NY, offers the opportunity to work hands-on with large-scale datasets, leveraging Databricks (on AWS) to build and manage data pipelines from source through bronze and silver layers, with gold-layer outputs delivered to S3. You will oversee an offshore engineering resource, collaborate closely with BI and data architecture teams, and ensure domain data structures align with enterprise-wide models. This is a high-ownership role where you will influence data architecture, support reporting and semantic-layer needs, and troubleshoot data quality and pipeline issues. The position offers significant growth potential in a dynamic, fast-paced environment and the chance to directly impact how data is structured and delivered across the organization.

WHAT YOU'LL DO

• Own end-to-end data delivery for assigned domain(s), from source ingestion through bronze and silver layers in Databricks, with gold outputs landing in S3


• Manage and guide the work of an offshore data/BI engineering resource supporting the domain


• Ensure domain data structures and schemas align to the enterprise-wide data model, avoiding siloed, domain-specific designs


• Partner with BI engineering to support semantic-layer and reporting needs stemming from the domain's data


• Track and manage delivery work in Jira or Azure DevOps


• Collaborate with the Senior Engineering Lead and other Domain Leads to maintain consistency across the data platform


• Troubleshoot data quality, delivery, and pipeline issues within the domain


• Help contribute to a diverse, equitable, and inclusive work culture

WHAT YOU BRING

• 5+ years of experience as a data engineer, with experience overseeing or mentoring other engineers or offshore resources


• Hands-on experience with Databricks and the medallion architecture (bronze/silver/gold)


• Experience with AWS; familiarity with Snowflake or other cloud data warehouses is a plus


• Strong SQL skills and experience with data modeling/schema design at the domain level


• Experience with Jira or Azure DevOps for tracking and managing delivery work
  
• Exposure to BI concepts or experience working alongside BI engineers on reporting/semantic layers


• Strong analytical and problem-solving skills with exceptional attention to detail


• Excellent verbal and written communication skills


• Comfortable operating with high ownership in a fast-moving, enterprise environment

WHAT'S IN IT FOR YOU

• Work for a well-known, globally leading Media & Entertainment organization


• Ownership of a core business domain's data delivery within a newly-forming enterprise data organization


• Direct influence over how the domain's data is structured and delivered


• Opportunity to work with large-scale datasets and advanced data and analytics platforms


• Grow your career in a dynamic, fast-paced environment

Eight Eleven Group is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation, and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

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