Data Engineer III

eSimplicity

Data Engineer III developing, expanding, and optimizing data pipelines for eSimplicity. Supporting cross-functional teams with data delivery architecture and working on large data processing.

Posted 5/15/2026full-timeRemote • Maryland • 🇺🇸 United StatesSeniorLead💰 $113,200 - $127,900 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudEC2ETLHadoopJavaMySQLPostgresPythonScalaSpark

About the role

Key responsibilities & impact

Responsible for developing, expanding, and optimizing our data and data pipeline architecture
Support software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects
Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process
Implements large dataset engineering: data augmentation, data quality analysis, data analytics, data profiling, and develop data strategy recommendations
Operate large-scale data processing pipelines and resolve business and technical issues pertaining to processing and data quality
Assemble large, complex sets of data that meet non-functional and functional business requirements
Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
Work with stakeholders including data, design, product, and government stakeholders and assist them with data-related technical issues
Write unit and integration tests for all data processing code
Work with DevOps engineers on CI, CD, and IaC
Read specs and translate them into code and design documents
Perform code reviews and develop processes for improving code quality.

Requirements

What you’ll need

Minimum of 8 years of experience as a Data Engineer or in hands-on software development
At least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required.
In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience.
Expert data pipeline builder and data wrangler
Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products.
Experienced in designing data architecture for shared services, scalability, and performance
Experienced in designing data services including API, metadata, and data catalog
Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement.
Excellent analytic skills associated with working on unstructured datasets
Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR, and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java, and Python.
Experience with Agile methodology, using test-driven development
Experience with GitHub and Atlassian Jira/Confluence.
Excellent command of written and spoken English.

Benefits

Comp & perks

highly competitive salaries
full healthcare benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaETLdata pipeline architecturedata quality analysisdata analyticsdata profilingbig dataAPI designtest-driven development

Soft Skills

analytical skillsself-sufficientsupporting multiple teamsroot cause analysisprocess improvementcommunicationcollaborationproblem-solvingadaptabilityattention to detail