Staff Data Engineer
Staff Data Engineer
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USD 149200 - 160000
1 Vacancy
Job Description
About Us
eSimplicity is a modern digital services company that works across government partnering with our clients to improve the health and lives of millions of Americans ensure the security of all Americansfrom soldiers and veterans to kids and the elderly and defend national interests on the battlefield. Our engineers designers and strategists cut through complexity to create intuitive products and services that courageously equip Federal agencies with solutions to transform today for a better tomorrow for all Americans.
Responsibilities:
- Responsible for expanding and optimizing our data and data pipeline architecture as well as optimizing data flow and collection for cross functional teams.
- 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 development and maintains existing pipeline updates Extract Transfer Load (ETL) process creates new ETL feature development builds PoCs with Redshift Spectrum Databricks etc.;
- Implements with support of project data specialists large dataset engineering: data augmentation data quality analysis data analytics (anomalies and trends) data profiling data algorithms and (measure/develop) data maturity models and develop data strategy recommendations.
- Assemble large complex sets of data that meet nonfunctional and functional business requirements
- Identify design and implement internal process improvements including redesigning data infrastructure for greater scalability optimizing data delivery and automating manual processes
- Building required infrastructure for optimal extraction transformation and loading of data from various data sources using AWS and SQL technologies
- Building analytical tools to utilize the data pipeline providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
- Working with stakeholders including data design product and government stakeholders and assisting them with datarelated 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.
Required Qualifications:
- Minimum of 8 years related experience.
- 7 years of handson software development experience
- 4 years of Data pipeline experience using Python Java and cloud technologies
- A Bachelors degree in Computer Science Information Systems Engineering Business or other related scientific or technical discipline. With ten years of general information technology experience and at least eight years of specialized experience a degree is NOT required.
- Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
- Selfsufficient 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 meta data and data catalogue.
- Experienced in data governance process to ingest (batch stream) curate and share data with upstream and downstream data users.
- 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 and answer questions
- 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 Kafka Spark and Hadoop; relational NoSQL and SQL databases including Cassandra and Postgres; workflow management and pipeline tools such as Airflow Luigi and Azkaban; AWS cloud services including Redshift RDS EMR and EC2; streamprocessing systems like SparkStreaming and Storm; and object function/objectoriented scripting languages including Scala C Java and Python.
- Flexible and willing to accept a change in priorities as necessary.
- Ability to work in a fastpaced teamoriented environment
- Experience with Agile methodology using testdriven development.
- Experience with Atlassian Jira/Confluence.
- Excellent command of written and spoken English.
- Ability to obtain and maintain a Public Trust; residing in the United States
Desired Qualifications:
- Federal Government contracting work experience.
- Googles Certified ProfessionalDataEngineer certification IBM Certified Data Engineer Big Data certification CCP Data Engineer for Cloudera
- Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience
- Experience with healthcare quality data including Medicaid and CHIP provider data beneficiary data claims data and quality measure data.
Working Environment:
eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.
Occasional travel for training and project meetings. It is estimated to be less than 25% per year.
Benefits:
We offer a highly competitive salary and full healthcare benefits.
Equal Employment Opportunity:
eSimplicity is an equalopportunity employer. All qualified applicants will receive consideration for employment without regard to race religion color national origin gender age status as a protected veteran sexual orientation gender identity or status as a qualified individual with a disability.
*Resumes can also be emailed to
Required Experience:
Staff IC
Employment Type
Full-Time
