Minimum three years of experience in data engineering or analytics
Bachelor's degree from an accredited institution
Expertise in developing data pipelines using Databricks and AWS (S3, Redshift, Glue, Lambda)
Proficient in programming languages including Python, Scala, and SQL
Willingness to travel as needed for client engagements
U.S. Government Secret clearance required
Responsibilities
Develop and enrich structured and unstructured data from various sources
Create scalable production-quality data and Machine Learning pipelines
Translate complex analytics problems into actionable technical solutions
Guide teams in client-focused analytics and exploratory data analysis
Maintain oversight and quality control in analytics solution development
Prepare data for analysis through cleansing, integration, and transformation
Lead client discussions on analytic methodologies and solution benefits
Generate documentation for analytic processes and maintenance
Benefits
Opportunities for professional development
Work on diverse projects across multiple domains
Supportive team environment and collaborative culture
Potential travel opportunities to engage with clients
Hands-on experience with cutting-edge technologies and tools
Full Job Description
Responsibilities:
Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data
Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy)
Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL
Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS)
Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation)
Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions
Develop documentation / guides for analytics usage and maintenance
Qualifications:
A minimum of three years of data engineering / analytics experience
Bachelor's degree from an accredited college / university
Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda
Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks
Proficiency in programming languages such as Python, Scala, SQL
Ability to travel as required to support firm engagements
Initial project will be located in the St. Louis, MO region, requires daily on-site presence
Applicant must possess a U.S. Government Secret clearance
