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Resp & Qualifications
PURPOSE:
The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance. This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company and clients.
ESSENTIAL FUNCTIONS:
Develops and maintains auditing systems (e.g., data warehouses, data lakes) using Ab Initio. Prepares and manipulates data using multiple technologies. Creates data collection frameworks for structured and unstructured data.
Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
Supports Production and PLT environments; addresses issues in a timely fashion.
Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
Applies and implements best practices for data auditing, scalability, reliability and application performance.
SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree, Details: Computer Science, Information Technology or Engineering or related field OR In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years Experience with database design and developing modeling tools. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling.
The incumbent must have expereince in Ab Initio, Unix shell scripting, SQL, Axway, Cognos. Exposure to Big Data technologies (Cloudera) and AWS is a big plus. Must be willing to support off hours (weekends) implementation to Production and Plan Test environments and address issues as needed.
Preference will be given to candidates having hands-on experience with FEPOC and FEPDO systems such as HEDIS, FEDVIP Dental and Vision reports, Truven, IBM Watson Health etc.
Knowledge, Skills and Abilities (KSAs)
Department
Department: (EIS Technical Delivery)
Equal Employment Opportunity
CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Hire Range Disclaimer
Actual salary will be based on relevant job experience and work history.
Where To Apply
PeopleSoft/Self Service/Recruiting
Federal Disc/Physical Demand
Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.
PHYSICAL DEMANDS:
The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted.
Sponsorship in US
Must be eligible to work in the U.S. without Sponsorship
#LI-KT1 |
Full Time
$82k-109k (estimate)
05/10/2023
10/09/2023
carefirst.co...
MD
<25
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Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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