Senior Data Engineer-Infrastructure as Code, Docker, AWS

Job title:

Sr. Data Engineer

Location:

Orlando, FL (Hybrid 4/1)

Duration: 6+ month contract

Pay Rate: 88/hr

Key

Skills:

Experience with infrastructure as code, Docker, containerization, and elastic scaling with Kubernetes or a similar framework and with AWS. Experience working with large datasets and big data technologies, preferably cloud-based such as Snowflake, Databricks, or similar. Demonstrated proficiency with API development. Knowledgeable on cloud architecture and product offerings, preferably AWS.

Tech Stack:
Heavy Snowflake/SQL/Python and Flink. Multi-environment in Dev Ops – must have code promotion and code management experience. Bonus skills:
Infrastructure as code, Docker, and Kubernetes used.

The Data Engineering (DE) team is seeking a Data Engineer to design, develop, enhance, and implement systems for multiple analytical applications. The work will involve various data engineering activities such as maintaining and enhancing data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process notification methods.

Responsibilities of the Role: Work assignments may cover activities such as participation in data requirements gathering, source-to-target mapping, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, and producing datasets as input to science models and visualizations. As part of a data engineering team, this role will be included in technical reviews to ensure quality deliverables. In addition to technical capabilities, the role is responsible for developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables.

This role communicates data engineering progress to the project leadership team and actively participates in meetings and discussions.

Bachelor's degree (Computer Science, Mathematics, Software Engineering or related field, or equivalent experience). 5+ years of experience with ELT/ETL development using SQL and Python. 2+ years of experience developing and maintaining data pipeline processing with a framework such as Apache Flink, Beam, or Kafka Streams. Experience and understanding of one or more business domains to assist in gathering/refining data requirements and data design solutions.

Experience with developing in a multi-environment (Dev, QA, Prod, etc.) and Dev Ops procedures for code deployment/promotion. Strong understanding of database design and proficiency utilizing various database platforms, such as PostgreSQL or Snowflake. Experience managing and deploying code using a source control product such as Git Lab/Git Hub. Able to effectively formulate solutions and communicate complex technical concepts to non-technical team members.

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• ...and much more!

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.