Data Engineer III
Sierra Nevada Corporation
full-time
Posted on:
Location Type: Hybrid
Location: Sparks • Colorado • Nevada • United States
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About the role
- Collaborate with stakeholders, business systems analysts, and other project team members to understand their functional and non-functional data requirements and design data models that meet those needs.
- Develop and maintain data dictionaries, data lineage, and other metadata artifacts to ensure that data is well-governed, accurate and supports authoritative data sourcing.
- Document and model existing ETL processes to provide insight into current data integrations, areas of opportunity to consolidate or streamline, and/or removing redundancies.
- Support and help define the data strategy and cleansing activities for AI initiatives.
- Design, build, and maintain RPAs for data ingestion that are scalable and efficient to bolster accuracy in QA and system testing.
- Partner with program management office and business systems analysts to support the elicitation and cultivation of business needs to translate into detailed requirements documentation; focus will be on the data aspects of the needs to support successful delivery of projects including managing the transition to sustainment.
Requirements
- Bachelor's Degree in a related field with at least 6 years of relevant experience
- Higher education may substitute for relevant experience
- Relevant experience may be considered in lieu of required education
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with a variety of databases
- Experience with AWS cloud services: S3, Redshift, Glue
- Experience building and optimizing data pipelines, architectures and data sets
- Experience performing root cause analysis on data to answer specific business questions or issues
- Experience with object-oriented scripting languages and frameworks: Python
- Source system integration patterns (SQL, APIs)
- Operational responsibilities (schedules, monitoring, logging, alerting, error handling, etc.)
- DevOps experience
- Understanding of data modeling approaches and their applications (Preferred)
- Proficiency with SQL, Power Automate, IaC (Terraform), and DevOps (Preferred)
- Understanding of machine learning techniques, LLMs, and Azure Foundry (Preferred)
- Familiarity with ArchiMate modeling semantics (Preferred)
- Strong knowledge of project planning/execution and solid understanding of analysis and software development lifecycle methodologies (Preferred)
Benefits
- medical, dental, and vision plans
- 401(k) with 150% match up to 6%
- life insurance
- 3 weeks paid time off
- tuition reimbursement
- more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingETL processesdata pipelinesdata architecturesPythonroot cause analysisobject-oriented programmingDevOpsmachine learning
Soft Skills
collaborationcommunicationproject planningrequirements documentationstakeholder engagementproblem-solvingorganizational skillsattention to detailanalytical thinkingadaptability