Data Engineer

Mondo; Burbank (CA); Hybrid; USD 89,544 - 96,432; Full time

Benefits offered by this job

Health insurance plan

Retirement plan

Paid sick leave eligibility

Job summary

A leading tech consultancy is seeking an experienced Data Engineer to design and develop scalable data pipelines in a hybrid work environment. Candidates should have at least 7 years of hands-on experience in data engineering, strong expertise in AWS tools, and proficiency in SQL, Python, and PySpark. This contract position offers a competitive hourly compensation ranging from $65 to $70, with potential for extension. The role is integral in providing data solutions that support analytics and AI/ML products.

Qualifications

• 7+ years of hands-on data engineering experience required.
• Strong experience in AWS necessary.
• Proficiency in SQL, Python, and PySpark is essential.

Responsibilities

• Design and develop data pipelines using AWS tools.
• Build and optimize pipelines for performance.
• Collaborate with architects for data modeling.

Skills

Data engineering experience

Expertise in AWS

SQL proficiency

Python proficiency

Experience with orchestration tools

Modern data platforms knowledge

Tools

AWS (Glue, Kinesis, Lambda, RDS, DynamoDB, S3)

SQL

Python

PySpark

Airflow

Snowflake

Databricks

Redshift

Job description

Apply now: Data Engineer, location is Hybrid. The start date is ASAP for this contract position.

Job Title: Data Engineer

Location-Type: Hybrid (3 days onsite in Burbank, CA 91522)

Start Date Is: ASAP

Duration: Through 12/31/26 (Contract, potential extension/conversion)

Compensation Range: $65-$70/hr

Job Description

Hands-on Data Engineer responsible for building scalable, reliable, and reusable data pipelines to support analytics and AI/ML data products.

Day-to-Day Responsibilities

• Design and develop batch and streaming data pipelines using AWS tools
• Build and optimize pipelines for performance, scalability, and cost efficiency
• Collaborate with architects to implement data models and integrations
• Deliver clean, structured datasets for analytics and machine learning use cases
• Implement data quality checks, validation, and lineage tracking
• Contribute to data governance, cataloging, and schema management
• Partner with cross-functional teams in agile pod environments
• Mentor junior engineers and promote best practices in development

Requirements

• Must-Haves:
  • 7+ years of hands‑on data engineering experience
  • Strong expertise in AWS (Glue, Kinesis, Lambda, RDS, DynamoDB, S3)
  • Proficiency in SQL, Python, and PySpark
  • Experience with orchestration tools (Airflow or Step Functions)
  • Experience with modern data platforms (Snowflake, Databricks, Redshift)
  • Proven ability to build and optimize batch and streaming pipelines
• Nice-to-Haves:
  • Experience supporting AI/ML data products and feature engineering
  • Knowledge of data governance (lineage, cataloging, schema management)
  • Experience in agile/lean product team environments (PODs)
  • Strong mentoring and cross‑team collaboration skills

This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility.