Data Engineer

Aditi Consulting; Bellevue (WA); On-site; Full time

Job summary

Aditi Consulting is seeking a Data Engineer to design and maintain advanced data infrastructures using AWS technologies. This entry-level position focuses on building efficient data pipelines and supporting business intelligence initiatives, allowing new engineers to grow while contributing to impactful data solutions.

Benefits

Medical benefits

Dental benefits

Vision benefits

401(k) plan participation

Commuter benefits

Life and disability insurance

Responsibilities

• Design and maintain data infrastructure including ETL pipelines.
• Develop data pipelines using AWS technologies.
• Manage data governance and audit mechanisms.

Skills

Infrastructure as code

Data lake and data warehouse

AWS IAM access controls

Server and server-less analytics

Airflow environment

Data pipeline design

Apache Spark

Job description

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This range is provided by Aditi Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00/hr - $85.00/hr

Payrate: $75.00 - $85.00/hr.

Key job responsibilities:

• Design, implement and maintain data infrastructure including data modeling, ETL pipelines, and ongoing maintenance.
• Partner with product, operational, and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation, Glue, S3, MWAA, Lambda, etc.).
• Build a data dictionary, catalog and governance plan and manage and audit all of the registered data via robust mechanisms.
• Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
• Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
• Provide guidance on data stewardship for teams onboarding to the central data systems.

Must have skills for this role:

• Infrastructure as code (preferably AWS CDK/CloudFormation)
• Developing and maintaining data lake and data warehouse environments
• AWS IAM based access controls
• Deploying and managing servers and server-less analytics stacks
• Deploying and maintaining a self-hosted Airflow environment
• Data pipeline design, implementation, and maintenance
• Apache Spark

Pay Transparency: The typical base pay for this role across the U.S. is: $75.00 - $85.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off based on tenure, up to 40 hours paid sick time, 401(k) plan participation, commuter benefits and life and disability insurance.

For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ( https://www.aditiconsulting.com/privacy-policy ).

Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter.

#AditiConsulting

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development

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