Senior Data Engineer (Cross-Workstream Enablement)

ICONMA, LLC • United States, United States • 1d ago

Our Client, a Mass Media and Entertainment company, is looking for a Senior Data Engineer (Cross-Workstream Enablement) for their Burbank, CA / Hybrid location. Responsibilities: Design & Build Scalable Data Pipelines:

Lead development of batch and streaming pipelines using AWS-native tools (Glue, Lambda, Step Functions, Kinesis) and modern orchestration frameworks.

Implement best practices for monitoring, resilience, and cost optimization in high-scale pipelines.

Collaborate with architects to translate canonical and semantic data models into physical implementations.

Enable Analytics & AI/ML Workflows:

Build pipelines that deliver clean, well-structured data to analysts, BI tools, and ML pipelines.

Work with data scientists to enable feature engineering and deployment of ML models into production environments.

Ensure Data Quality & Governance:

Embed validation, lineage, and anomaly detection into pipelines.

Contribute to the enterprise data catalog and enforce schema alignment across pods.

Partner with governance teams to implement role-based access, tagging, and metadata standards.

Mentor & Collaborate Across Pods:

Guide junior data engineers, sharing best practices in pipeline design and coding standards.

Participate in pod ceremonies (backlog refinement, sprint reviews) and program-level architecture syncs.

Promote reusable services and reduce fragmentation by advocating platform-first approaches.

Requirements:

Experience in data engineering, with hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions). 7+ years of experience.

Strong skills in SQL, Python, PySpark, and scripting for data transformations. 7+ years of experience.

Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica). 7+ years of experience.

Strong collaboration and mentoring skills; ability to influence across pods and domains.

Knowledge of data governance practices, including lineage, validation, and cataloging.

Strong skills in SQL, Python, PySpark, and scripting for data transformations.

hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions).

Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica).

Proven ability to optimize pipelines for both batch and streaming use cases.

Why Should You Apply?

Health Benefits

Referral Program

Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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