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Company

Original Job Post

Elder Research · 1 week ago

Senior Data Engineer

Atlanta, GA

Full-time

Onsite

Senior Level

6+ years exp

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Responsibilities

Lead and implement software engineering best practices

Mentor junior engineers

Design software architectures

Wrangle and fuse large and disparate data sets

Assist in deploying models and algorithms

Automate data pipelines

Communicate model results through data visualizations

Tailor applications to clients’ business goals

Consider long-term stability and scalability in development

Apply decision-making skills effectively

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonJavaProject requirements analysisTechnical supportCommunicationProblem-solvingAdaptabilityData engineeringGovernance standardsCode reviewSoftware architecture designData pipeline implementationSQLNoSQLREST APIsVisualization softwareGitDistributed version controlCloud platformsAWSAzureGoogle CloudContinuous integrationContinuous deploymentModelingData analysisDatabase configurationTechnical service configurationData strategy developmentAWS certification

Required

Bachelors/Master’s degree in Computer Science or related field requiring software development

4+ years’ of professional experience with Python, Java, or similar

Excellent written and verbal communication skills

Ability to parse project requirements, including asking questions to ensure full and correct understanding

Willingness and ability to learn new concepts and tools quickly

Willingness and ability to provide technical support across multiple projects

Preferred

Set or contributed to data engineering and governance standards

Reviewed code/design/architecture and coached on adjustments (as needed)

Mentored junior engineers

Designed and implemented software architectures

Implemented a data pipeline that includes data transformations such as aggregations, joins, and cleaning

Ingested data into SQL or NoSQL databases

Interacted with SQL or NoSQL databases via Python, Java, or similar

Provided access to transformed data for downstream applications or visualizations via REST APIs or similar

Worked with visualization software such as Power BI, Tableau, or similar

Skilled in both applying and teaching others to apply Git (or other distributed version control) for collaboration, record-keeping, and deployment scenarios

Skilled in both using and guiding others in using cloud platforms (AWS, Azure, Google Cloud) for building, deploying, evolving, and maintaining data pipelines

Skilled in both applying and guiding others in applying continuous integration and continuous deployment (CI/CD) techniques for surfacing situations where new work breaks existing functionality

Had exposure to modeling and/or data analysis

Configured a technical service such as a database, version control system, or operating system

Led and collaborated with others to accomplish a technical task

Partnered on the development or deployment of a data strategy

Presented technical work to a non-technical audience via writing or presentation

AWS, Azure, or Google Cloud certifications