Note: The job is a remote job and is open to candidates in USA. ActioNet is an IT Solutions Provider specializing in Agile Software Engineering, Cloud Solutions, Cybersecurity, and IT Managed Services. The company is seeking a Data Engineer to build scalable cloud-native data architectures and ETL pipelines, integrate and transform complex datasets, and support analytics and reporting. The role also involves testing data outputs, developing dashboards, and maintaining data-processing code across development, test, and production environments.
Responsibilities
- 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
Skills
- 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 qualify 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
- Requires a Public Trust - must be US Citizen to be eligible
- Experience with SAS highly preferred
- Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery
- Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc
- Experience with workflow orchestration tools e.g. Airflow, Temporal
- Familiarity with distributed high-performance computing (HPC) and parallel processing
- Experience with and interest in AI/ML and data modeling highly preferred
- Experience with microservices architecture and containerization (e.g., Docker, Kubernetes)
- Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD)
- Familiarity with agile development methodologies and version control systems (e.g., GitHub, Bitbucket)
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
Company Overview