Data Engineer 1

at  Elder Research

HYBRID, REMOTE, TRAVEL REQUIRED

Elder Research, Inc. (ERI) is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. The Commercial business unit is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.
We are looking to hire a Senior Data Engineer who can support robust and repeatable data manipulation, large-scale infrastructure for data ingestion, and data visualization for custom client applications. A Senior Data Engineer works collaboratively with Business Analysts, Data Scientists, Data Analysts, other Software/Data Engineers, and business stakeholders to create and deploy dynamic data applications that help our customers make meaningful business decisions.
Some of your responsibilities will include leading and implementing software engineering best practices, mentoring junior engineers, designing software architectures, wrangling and fusing large and disparate data sets, assisting in the deployment of models and algorithms, automating data pipelines in their entirety, and communicating model results through user-focused data visualizations. Candidates should have the ability and the willingness to tailor applications to a clients’ business goals using an iterative methodology. Candidates should also be able to consider both long-term stability and scalability while taking a user-focused approach to development and deployment. Excellent decision making skills are a must.

DESIRED SKILLS

Candidates should have a mix of the following experiences:

• 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.

DESIRED EDUCATION AND EXPERIENCE

• Education:
• Master’s in a technical field and 4-5 years’ experience OR
• Bachelor’s and 6+ years’ experience
• Certifications:
• AWS, Azure, or Google Cloud

MINIMUM REQUIREMENTS

• 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

• Work on small teams in a highly collaborative environment.
• Participate in both existing and new projects.
• Contribute to consulting projects to solve interesting problems for multiple clients in various industries.
• Communicate details of the technical architecture to fellow team members and clients in both technical and non-technical terms.
• Work with Data Scientists to design and/or implement the technical architecture necessary to support analytics.
• Work with Software/Data Engineers to improve the robustness and scalability of software products.
• Participate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance.
• Work on documentation of the technical architecture for internal and client use.
• Design, create, and provision data stores.
• Build trusted and lasting relationships with clients.
• Provide value to our clients through analytics, software tools, and leadership.
• Manage and monitor pipelines to extract, transform, and load data (ETL).