Data Engineer

Everforth Apex
Greenwood Village, CO, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Computing Computer Programming Databases Extract Transform Load (ETL) Fraud Prevention and Detection Python (Programming Language) NoSQL
+10 more
SQL Databases Apache Spark AWS Lambda Servicebus Pyspark Information Technology Integration Frameworks Machine Learning Operations Data Pipelines Databricks

Job description

This role is responsible for building pipelines and maintaining the infrastructure that allows large-scale processing and storage of data for data scientists to generate insights, build predictive models, and inform business decisions. The successful candidate will support key efforts in internet reliability programs and proactive campaigns for network upgrade initiatives. This position will involve splitting time between two data science projects focusing on an internal experimentation/A/B testing platform and various fraud prevention initiatives., * Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

  • Write and schedule jobs to ingest data from different sources.
  • Ensure data quality and reliability by monitoring pipelines, validating schema changes, and setting up alerts for data anomalies.
  • Optimize complex queries and data transformations for performance and cost efficiency.
  • Collaborate with data scientists to gather requirements and validate output from jobs.
  • Work closely with the MLOps team to support infrastructure and tooling changes.
  • Deliver work at a steady, predictable pace to achieve commitments, release complete solutions in small batches, and identify and negotiate important tradeoffs.

Requirements

  • Senior-level experience as a Data Engineer.
  • Strong programming skills in Python and Scala. Candidates with strong Python and a willingness to learn Scala will be considered.
  • Proficiency with PySpark and/or Spark.
  • Strong understanding of database systems (e.g., SQL, NoSQL) and data processing frameworks like Databricks.
  • Familiarity with cloud platforms such as AWS and related services (e.g., AWS Lambda, S3, EC2, EventBridge, Athena).

Preferred Qualifications

  • Proficiency with data orchestration tools like Airflow or AWS Step Functions.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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