ActioNet, Inc.

Data Engineer

ActioNet, Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

Amazon RedshiftAWSCloudETLMongoDBMySQLOraclePostgresPythonScalaSQL

About the role

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
  • Develop efficient data processing and transformation workflows to support analytics and reporting needs.
  • Design, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks.
  • Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques.
  • Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies.
  • Develop dashboards, visualizations, and analytical products leveraging QuickSight or other mission‑approved tools to support operational decision‑making.
  • Provide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production
  • Optimize code through advanced algorithmic concepts to facilitate more efficient

Requirements

  • 5+ years of experience as a Data Engineer, Data Scientist, or Backend Software Engineer
  • Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field
  • Strong skills in Python and SQL and proficiency with other data engineering languages (e. g., R, SAS, SCALA)
  • Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting
  • Experience developing and implementing data reliability, efficiency, and quality checks and processes
  • Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.
  • Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc.
  • Familiarity with demographic, economic, and geospatial data sources and structures
  • Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
  • Excellent communication and teamwork skills
  • Strong skills preparing and presenting design/architectural documents to clients
Benefits
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Life and AD&D Insurance
  • 401(k) Savings Plan
  • Education and Professional Training
  • Flexible Spending Accounts (FSA)
  • Employee Referral and Merit Recognition Programs
  • Employee Assistance and Identity Theft Protection
  • Paid Holidays: 11 per year
  • Paid Time Off (PTO)
  • Disability Insurance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLRSASSCALAETLdata integrationdata cleaningdata validationdata analysis
Soft Skills
communicationteamworkcollaborationproblem-solvingpresentation skills