Data Engineer III

🔥 20 minutes ago

🇺🇸 United States – Remote

💵 $113.2k - $130k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

eSimplicity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Develop, expand, and optimize data and data pipeline architecture • Optimize data flow and collection for cross-functional teams • Support software developers, database architects, data analysts, and data scientists on data initiatives • Ensure consistent optimal data delivery architecture across ongoing projects • Create new data pipelines and maintain existing pipelines • Update ETL processes and create new ETL features • Build proofs of concept with Redshift Spectrum, Databricks, AWS EMR, SageMaker, and related technologies • Implement large-dataset engineering, including data augmentation, data quality analysis, data analytics, data profiling, data algorithms, data maturity models, and data strategy recommendations • Operate large-scale data processing pipelines and resolve processing and data-quality issues • Assemble complex datasets meeting functional and non-functional business requirements • Identify and implement internal process improvements, including scalable data-infrastructure redesign, data-delivery optimization, and manual-process automation • Build AWS- and SQL-based infrastructure for extracting, transforming, and loading data from various sources • Build analytical tools and provide actionable insights into business performance metrics, operational efficiency, and customer acquisition • Work with data, design, product, and government stakeholders on data-related technical issues • Write unit and integration tests for data-processing code • Work with DevOps engineers on CI, CD, and IaC • Translate specifications into code and design documents • Perform code reviews and develop processes to improve code quality • Perform other duties as assigned

🎯 Requirements

• Must pass public trust clearance through the U.S. Federal Government • Must be a U.S. citizen or pass clearance through the Foreign National Government System • Candidates using the Foreign National Government System must have lived within the United States for at least 3 of the previous 5 years • Valid and non-expired passport from country of birth and appropriate visa/work permit documentation required where applicable • Minimum 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 related scientific or technical discipline required; OR 10 years of general information technology experience, including at least 8 years of specialized experience in lieu of a degree • Experience designing data architecture for shared services, scalability, and performance • Experience designing data services including APIs, metadata, and data catalogues • Experience with data governance processes to ingest batch and streaming data, curate it, and share it with upstream and downstream users • Excellent analytical skills working with unstructured datasets • Experience with Spark, Hadoop, MySQL, Postgres, Apache Airflow, AWS Step Functions, AWS Redshift, AWS RDS, AWS EMR, AWS EC2, Spark Streaming, Storm, Scala, Java, and Python • Ability to work in a fast-paced, team-oriented environment • Experience with Agile methodology and test-driven development • Experience with GitHub and Atlassian Jira/Confluence • Excellent command of written and spoken English • Federal Government contracting experience desired • Databricks Certification desired • Google Certified Professional Data Engineer certification desired • IBM Certified Data Engineer – Big Data certification desired • CCP Data Engineer for Cloudera certification desired • Centers for Medicare and Medicaid Services (CMS) or healthcare industry experience desired • Experience with Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data desired

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • 401(k) retirement benefits • Paid time off • Paid holidays • Life insurance • Disability insurance • Wellness programs • Employee support programs • Remote work environment • Occasional travel for training and project meetings (estimated less than 5% per year)

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume