Data Engineer

Ascendion

$150K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • 7+ years of experience in data engineering or ETL development.
  • Experience in a lead role.
  • Expertise in AWS data technologies including AWS Glue, Redshift, S3, and Lake Formation.
  • Strong skills in SQL, Python, and PySpark.
  • Hands-on experience with Managed Airflow (MWAA) for orchestration.
  • Familiarity with AWS CDK and AWS Build Tools for automation.

Responsibilities

  • Design and optimize ETL pipelines using AWS Glue.
  • Develop data workflows using Managed Airflow (MWAA).
  • Write and optimize SQL and Python/PySpark scripts for data transformation.
  • Architect and maintain data storage solutions like AWS Redshift and S3.
  • Implement data governance and security with AWS Glue and Lake Formation.
  • Collaborate with analytics teams for reporting and visualization.
  • Automate infrastructure deployment using AWS CDK.

Benefits

  • Medical, dental, and vision insurance coverage.
  • 401(k) retirement plan with company matching.
  • Long-term and short-term disability insurance.
  • Accrued personal days each year.
  • 12-15 days of paid vacation time per year.
  • 6-8 weeks of paid parental leave after a year of service.
  • 9 paid holidays and 2 floating holidays annually.
  • Access to Ascendion Learning Management System.
  • Tuition reimbursement program.
Full Job Description
About the Role
  • Job Title:Data Engineer
  • Location:Seattle 5 Days Onsite

Key Responsibilities
  • Design, build, and optimize scalable ETL pipelines using AWS Glue.
  • Develop and manage data workflows and orchestration using Managed Airflow (MWAA).
  • Write and optimize SQL and Python/PySpark scripts for data transformation and processing.
  • Architect and maintain data storage solutions using AWS Redshift and S3.
  • Implement and manage data cataloging, governance, and security using AWS Glue and Lake Formation.
  • Collaborate with analytics teams to support reporting and visualization using QuickSight and Tableau.
  • Automate infrastructure deployment using AWS CDK and AWS Build Tools.
  • Ensure high data quality, performance, and reliability across all data processes.
  • Drive best practices for data engineering, including CI/CD, monitoring, and documentation.
  • Mentor junior engineers and contribute to team development and knowledge sharing.

Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 7+ years of experience in data engineering, ETL development, or similar roles.
  • Experience working a lead role.
  • Expertise in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation.
  • Strong programming skills in SQL, Python, and PySpark.
  • Hands-on experience with data pipeline orchestration using Managed Airflow (MWAA).
  • Knowledge of data modeling, warehousing concepts, and performance tuning.
  • Familiarity with AWS CDK and AWS Build Tools for infrastructure automation.
  • Excellent problem-solving, analytical, and communication skills.
  • Experience working in Agile or DevOps environments.


Note : Candidates with Retail and High-tech domain are preffered, Thank you!!

Salary and Other Compensation:

The annual [salary/hourly rate] for this position is between [$150,000 - 160,000 annually].Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [12-15 days of paid vacation time] [6-8 weeks of paid parental leave after a year of service] [9 paid holidays and 2 floating holidays per calendar year] [Ascendion Learning Management System] [Tuition Reimbursement Program.

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Preferred Skills

AWS
  • SQL
  • Python
  • Pyspark AWS
  • Pyspark


Job details

Job ID 333106

Role Data Engineer

Location Seattle, Washington, US

Job type Direct Hire

Recruiter Divya

Email [email protected]

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