Designs, develops, modifies, configures, debugs and evaluates jobs for extracting data from various sources
Implements transformation logic and stores data in various formats fit for use by stakeholders
Collects metadata about jobs including data lineage and transformation logic
Works with teams, clients, data owners, and leadership throughout the development cycle practicing continuous improvement
Leads a team on moderately complex to complex data and analytics-centric problems having broad impact that require in-depth analysis and judgment to obtain results or solutions
May contribute to the resolution of uniquely complex data and analytics-centric problems having significant impact
Identifies, designs and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Resolves application programming analysis problems of broad scope within procedural guidelines
Provides assistance to other programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas
Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed with verified data quality and metadata appropriately captured and catalogued
Collaborates with peers to develop departmental standards, norms, and new goals/objectives
Plans work to meet assigned general objectives; reviews progress regularly and solutions may provide an opportunity for creative/non-standard approaches
Assesses data pipeline performance and suggests/implements changes as required
Communicates (oral and written) recommendations
Mentors/provides guidance to less experienced colleagues

Requirements

BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience
7 years of experience with data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE
Experience with multiple data engineering/ETL ecosystems
Experience with machine learning algorithm deployment
Master’s degree in Computer Science, Management Information Systems or related field, or equivalent experience (desired)
Experience leading development teams (desired)
Business Intelligence and data access tool expertise, including advanced SQL, data modeling, and performance optimization (desired)
Strong software engineering fundamentals (Git, CI/CD, unit and integration testing) with production data pipelines experience (desired)
Proficiency in Python and SQL within Palantir Foundry, including PySpark-based transformations and data workflows (desired)

Benefits

discretionary incentive compensation programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringETLmachine learningSQLdata modelingperformance optimizationPythonPySparkGitCI/CD

Soft Skills

leadershipcommunicationmentoringcollaborationproblem-solvingcontinuous improvementanalytical thinkingcreativityguidanceorganizational skills

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Management Information SystemsMaster's degree in Computer ScienceMaster's degree in Management Information Systems