Data Engineer-(Required State of NY or NJ agency experience)

Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector's IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.

*This is an exempt position. Salary commensurate with experience*

Overview:

We are seeking a Data Engineer who will support our State of NY client. The ideal candidate will have a strong background in data engineering, analytics, and modern data architecture, with specific expertise in healthcare data processing and claims analytics. This role requires adaptability to a fast-paced Agile environment, excellent problem-solving skills, and the ability to assess and communicate data quality nuances effectively.

Duties:

• Build and maintain high-quality data pipelines to support analytic solutions.

• Process and analyze standard healthcare data, including claims, ensuring accuracy and quality.

• Design and implement modern data architecture patterns, such as medallion or data lakehouse.

• Partner with business analysts to align technical solutions with business requirements.

Mandatory Qualifications:

• Bachelor's degree in computer science, MIS, Engineering, or a related field.

• 5 + years in data engineering or architecture, with a minimum of 2 years working with healthcare claims data.

• Demonstrated experience in at least 1-2 Agile projects, showcasing adaptability to changing priorities and evolving requirements.

• 5 + years' experience in SQL and data analysis.

• 2 + years experience in programming languages such as Python or Scala 6 months experience with cloud computing platforms (e.g., AWS, Azure) and Infrastructure as Code (IaC) tools.

• Experience with big data tools and frameworks, such as Hadoop, BigQuery, Hive, Impala, or Spark.

• Knowledge of business intelligence tools like Tableau, Power BI, or Looker.

• Understanding modern data architecture patterns, including medallion and data lakehouse.

Desirable Qualifications:

• Familiarity with machine learning, data science workflows, and statistical & data-mining techniques.

• Experience in developing and maintaining data warehouses and big data solutions.

• Exposure to Linux environments and Big Data development.

• Strong problem-solving abilities and adaptability in Agile environments.

• Excellent communication skills to effectively convey data quality nuances and technical concepts.

• A strong work ethic and flexibility to meet evolving project demands.

Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.