Data Engineer

3 weeks ago

Washington, United States Amida Technology Solutions Full time

Amida Technology Solutions is a DC-based software services company focused on the most difficult problems in data interoperability, exchange, governance, and security. We design, develop, and deploy software solutions that collect, reconcile, and transform data for business intelligence, predictive analytics, and decision support. We specialize in taking data from inception to impact.

Our team is comprised of creative, forward thinkers who are passionate about using cutting-edge technology to make a difference in people's lives and have a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.

Amida is currently looking for a Data Engineer to join our team. The Data Engineer must have considerable experience in providing highly specialized applications and operational analysis, supporting network and computing infrastructure and has knowledge in networking technologies. In this role you will provide data engineering expertise to our team as we develop a custom solution for our client, a large healthcare organization. You will help with the business development activities and will be responsible for describing data engineering solutions in our proposals.

What you will do:

  • This role will be responsible for designing and maintaining data pipelines, data warehouses, and data integration solutions
  • They will work closely with cross-functional teams to ensure data quality, optimize performance, and implement scalable data infrastructure
  • You will be responsible for providing data integration and analysis services working across several technologies and other disciplines including data modeling and data science, working with data lake-based solutions
  • Write code in Git including implementation of code writing and development
  • Able to lead an architecture or client call with other engineers explaining the architecture and development approach
  • Provide data engineering support by mapping data, including Electronic Health Record data, between source systems and target data models
  • Use your experience in healthcare to understand and transform data appropriately including evaluating for quality or formatting issues
  • Lend your expertise to aligned efforts including the creation of a new comprehensive healthcare data model, cloud migration, and implementation of a data lake
  • Develop data models and ETL pipelines that centralize data into a cloud-based infrastructure, and performantly support data visualization tools primarily built in PowerBI
  • Data will also be used in predictive/ML models to drive dashboards or other production-level tools

Required Skills:

  • 5+ years of recent professional experience in database architecture, database engineering, data analysis, data mining, and/or data science
  • Bachelors Degree in a field such as Computer Science, Statistics, Mathematics, Database Engineering, or Management Information Systems
  • Experience in creating, optimizing, and running Transact-SQL queries in Microsoft SQL Server
  • Experience with Synapse, reviewing GitHub scripts, JSON, Spark Notebooks, Dataframe, ServiceNow, Kafka, PySpark and Python
  • Experience working with healthcare data, preferably Electronic Health Record data
  • An in-depth understanding of the terminologies, code sets, and standards of healthcare data
  • Experience in data migration to include data mapping and data profiling
  • Experience with ETL and ETL pipelines
  • Experience integrating data and data marts for consumption by visualization and predictive AI/ML tools
  • Ability to communicate concisely and persuasively with software engineers and clients
  • Ability to work with the federal government and be able to obtain a Public Trust clearance

Preferred Skills:

  • Experience provisioning, using, and optimizing Microsoft Azure and Cloud
  • Experience working for the Department of Veterans Affairs
  • Experience large-scale data analysis systems, such as Databricks, Hadoop, Pig, Scala, Spark or MPP databases
  • Experience working with Apache Parquet and/or Delta Lake formatted data
  • Experience supporting MLOps pipelines
  • Experience with CI/CD

Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have a strong sense of initiative, and are willing to be opinionated about the best ways of doing things. A sense of humor is an asset at Amida.

We help solve the biggest challenges in data management. If you're looking for an opportunity to help important organizations get their data right, we hope you'll forward your resume and let us know why this role appeals to you. We look forward to hearing from you.

Amida Technology Solutions is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, gender, national origin, disability status, protected Veteran status, or any other characteristic protected by law. We value diversity of ideas and people.

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