Senior Data Engineer

September 4

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Softrams

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Designing human centered software and developing digital services focused on HX, AI, Cloud, Devops and Cyber Security

UX • Big Data • DevOps • Cyber Security • Data Science

201 - 500

Description

• Softrams is seeking a Data Engineer for a position in federal health IT solutions. • The selected candidate will wrangle large, complex datasets and set up data pipelines to provide select data for quality analysis. • This position requires a combination of technical expertise, strong problem-solving skills, and a comprehensive understanding of data engineering within a cloud environment. • The ideal candidate will play a key role in building and maintaining robust data pipelines and infrastructure, ensuring the availability, quality, and security of data to support business intelligence and advanced analytics initiatives.

Requirements

• Ability to obtain a U.S. Federal Position of Trust clearance designation. • Must reside in and be able to perform work in the United States. • Must have lived in the United States for 3 of the last 5 years. • Master's degree in computer science, Data Engineering, or a related field with a minimum of 4 years of experience in data engineering (PhD is a plus). • At least 5 years of experience in programming with Python, focusing on data engineering tasks and scripting. • A minimum of 3 years of hands-on experience with Apache Spark for large-scale data processing, including building data visualizations using PySpark and Jupyter Notebooks. • Proficiency in data manipulation and analysis using Python libraries such as NumPy and Pandas. • Proven expertise in designing and managing data pipelines using AWS services, including AWS EMR and AWS S3. • 4+ years of experience working with relational databases and AWS Redshift, with a strong understanding of SQL for data manipulation and querying. • At least 2 years of experience utilizing Jupyter Notebooks for data exploration, analysis, visualization, and collaboration. • Strong knowledge of handling various data formats, including CSVs and Parquet files. • Extensive experience with cloud infrastructure, specifically AWS, and a thorough understanding of its services and capabilities.

Benefits

• 65%-75% company-sponsored (including dependents) premiums towards medical, dental and vision insurance. For eligible plans and tiers, we provide 100% company-paid medical insurance. • 100% employer sponsored STD, LTD and life insurance (min $100K). Voluntary life insurance option available. • Retirement 401(k) plan with employer matching. Immediate vesting. • Vacation and sick leave. • Maternity and parental leave. • Discretionary bonuses, spot awards, gifts, and tenure-based rewards. • Company-sponsored role-based training and certifications. • Monthly DoordashDashPass subscription. • Group discounts via LifeMart ADP