Senior Data Engineer, Data Management – BI

NBCUniversal

. Design, build, test, deploy, and maintain scalable data pipelines .

Posted 10/5/2026full-timeRemote • New York • United States, BurundiSenior💰 $115,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, with a strong focus on data modeling, ETL/ELT patterns, and CI/CD practices. Proficient in leveraging cloud technologies such as AWS and programming languages like Scala and Java to deliver high-quality data solutions.

Highest-signal resume keywords

Data Engineering ExperienceData ModelingAWS TechnologiesCI/CD Pipeline DesignAgile Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ArchitectureETL/ELT PatternsProgramming in ScalaProgramming in JavaSQLSparkDatabricksCI/CD Pipeline DesignData Quality

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten CommunicationVerbal Communication

Tools & Technologies

AWS S3AWS LambdaAWS AthenaAWS EMRAWS GlueGitHub ActionsSnowflakeApache IcebergHiveRedshift

Industry Keywords

Data LakeData WarehouseAgile DeliveryDevOps PracticesIncident Response

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSETLJavaPostgresScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, test, deploy, and maintain scalable data pipelines
Ingest, transform, validate, and publish structured and semi-structured data
Translate business and product requirements into technical designs, data models, integration patterns, and execution plans
Develop reusable, maintainable code focused on performance, testability, observability, and supportability
Build and optimize batch, event-driven, and serverless data processing patterns
Contribute to architecture decisions across data lake, warehouse, orchestration, metadata, API, and application integration patterns
Implement data quality checks, monitoring, alerting, and operational runbooks
Design and maintain CI/CD pipelines, automated testing, deployment workflows, and infrastructure-as-code patterns
Partner with analytics, BI, product, and business teams on data products and reporting solutions
Evaluate source systems, APIs, files, data contracts, and transformation logic
Participate in Agile practices, code reviews, release planning, incident response, and retrospectives
Mentor engineers and promote engineering best practices
Create and maintain technical documentation, architecture diagrams, data lineage notes, implementation guides, and support materials

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field, or equivalent practical experience
5+ years of hands-on data engineering experience
Strong experience with data modeling, data architecture, ETL/ELT patterns, metadata, data quality, and data warehouse or data lake methodologies
Hands-on experience with AWS S3, Lambda, Athena, EMR or EMR Serverless, Glue, Step Functions, SNS, SQS, or comparable technologies
Strong programming experience in Scala, Java, SQL, or similar languages
Experience with Spark, Databricks, Snowflake, Apache Iceberg, Hive, Redshift, Postgres, SingleStore, or comparable technologies
Experience designing and maintaining CI/CD pipelines, source control workflows, automated testing, and deployment practices using GitHub Actions or similar tools
Strong understanding of Agile delivery, DevOps practices, incident response, production support, monitoring, and performance tuning
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
Equivalent practical experience may substitute for the bachelor's degree

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k)
Paid leave
Tuition reimbursement
Discounts and perks
Fully remote work arrangement