Data Engineer

Overview

LMI is seeking a Data Engineer to join a high performing team supporting a government healthcare client. This position may be remote.

LMI: Innovation at the Pace of Need™

At LMI, we’re reimagining the path from insight to outcome at the new speed of possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

Responsibilities

• Supports data architecture for large-scale APIs and web application back-end data stores.  
• Implements ETL processes to supply application data for usage in the web application.  
• Manages critical low latency application databases on platforms. Develops packages and scripts for system enhancements and interfaces.  
• Develops scripts to validate the various data on systems.  
• Writes queries to improve the database performance and availability.  
• Executes statement to create and update various tables and views utilize for testing of code on a database. 
• Establishes database backup/recovery strategy using user-manage backup.  
• Engineers database solutions and interfaces enabling performance of data requests.  
• Develops reusable components for deployment in a traditional data warehouse environment. 
• Standardizes database maintenance activities by standardizing directory structure and documentation of DBA activities. 
• Establishes backup and recovery options and implements automation of many DBA utility functions.  
• Documents database design, data definition language, and define data migration strategy between different products/versions and develop data migration procedures.  

Qualifications

Required: 

• Bachelor’s degree in industrial engineering, operations research, statistics, mathematics, computer science, or related field 
• 3+ year(s) of experience 
• Strong analytical skills 
• Proficiency in Microsoft Office programs including Word, Excel, PowerPoint. 
• Proficiency in Python or PowerBI, SQL, and NoSQL
• Experience with entity relationship diagrams (ERDs)
• Experience creating or working with data cleansing pipelines
• Experience with medallion architecture
• Superior communication skills, both written and oral.
• Ability to absorb large amounts of new technical and policy knowledge without a lot of guidance.

Desired: 

• Master’s degree in industrial engineering, operations research, statistics, mathematics, computer science, data science or related discipline.
• Expert knowledge of Excel – VBA, Python, Tableau, PowerBI, SQL, and/or SAS 
• Understanding of federal healthcare programs
• Experience working in a consultant/client enviornment
• 3-5 years of experience in data analysis and reporting

The salary range for this position is- $95,348 - $167,812

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.