Job Description
$110,000-$130,000 with PTO, medical, dental, 401k
W2 only
The Data Engineer will develop and implement new data pipeline solutions to support business strategies thru value driven prioritization & alignment with senior leadership. Responsibilities will include assembly and evaluation of data such that new insights, solutions, and visualizations can be derived, exploratory data analysis, data cleaning & processing - perform data discoveries to understand data formats, source systems, file sizes, etc. and engage with business partners in this discovery process, drive critical decision making by conducting various type of descriptive statistics and data quality analyses and identify trends / data quality issues / anomalies across large data sets, particularly in the area of machine data, and other agronomic management practices.
The successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists internal and external to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value. Requires a degree or 5+ years experience in field or related area.
Daily Duties: • Integrate, transform, validate and reconcile large amounts of data. • Assemble and evaluate data such that new insights, solutions, and visualizations can be derived. • Exploratory data analysis, data cleaning & processing - Perform data discoveries to understand data formats, source systems, file sizes, etc. and engage with business partners in this discovery process. • Drive critical decision making by conducting various type of descriptive statistics and data quality analyses. • Directed and/or independent research to test scientific hypotheses • Identify trends / data quality issues / anomalies across large data sets, particularly in the area of machine data, and other agronomic management practices. • Evaluate the limitations of existing data sources and provide recommendations to address unmet data needs
Will work with: • Data scientists and Analyst in the Field Solution Technologies Analytics and Data Pipeline team • Data Manager, Software Engineers, Design Analysts in the Field Solution Technologies Automation and Pipeline Connectivity Team • Data Manager and Data Engineers in the R&D IT Team • Protocol Manager and Field Trial Officers in the Field Solutions Regional teams
The Field Solutions Technologies Team is a new team that has been created in Field Solutions. The Automation and Pipeline Connectivity Team which this Data Engineer will be part of will be working on transitioning the Legacy Field Testing systems into the Legacy Field Testing platform in order to leverage the geospatial and analytical capabilities that exist in the platform. The expectations for the team are very high and Field Solutions is extremely excited about the transition. The team will need to think big and out of the box as we make this transition – the system has been used for 50 years, so this will be a challenging, yet transformational transition, which will have impact across the globe. We will be a fast paced and agile team and will need to leverage data and systems across and legacy together to have the quick and valuable impact.
MUST HAVES: • BA/BS with a focus in Math, Statistics, Information Systems Management, Computer Science or GIS. • 5+ years of relevant development experience with recent experience in Python, R & SQL • 2+ years experience with working with geospatial datasets/GIS • Experience working with cloud tools such as AWS and Domino data science platform
Company Description
For over 30 years, we have specialized in providing technology consulting services including IT Contract Staffing, Contract to Hire, and Direct Hire Replacements to clients of all sizes throughout the St. Louis area. We focus on what's best for our clients and our consultants. Stockell Consulting provides hands-on solutions for your IT challenges to deliver quality results on time.