Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.
The Data Engineer aims to provide data in a ready-to-use form to enable a diverse set of business processes. Responsible for design, build, maintenance, and production support of data processing pipelines and systems. The Data Engineer will work closely with Data Analysts, Data Scientists, business and technical teams to deliver outcomes that are secure, reliable, fault-tolerant, scalable, quality and efficient. Applying analytics (e.g., machine learning) and statistical models, as needed. The Data Engineer can also provide data analysis and extracts on large and complex data sets.
Design, build, quality, maintenance, and production support of data processing pipelines and systems (Real-time and batch)
Design, build, quality, maintenance, and production support of RESTful APIs
Responsible for ensuring data processing pipelines and systems are: secure, reliable, fault-tolerant, scalable, accurate and efficient
Perform data analysis and provide extracts on large and complex data sets
Deliver automated functional tests on data processing pipelines and systems
Full participation in the assigned Agile team (e.g., standups, planning, peer reviews, etc.)
Provide on-call support (24x7); may be rotational
Collaborate within and outside assigned Agile team
Continuously seek opportunities to improve skillsets
Proactively identify and communicate roadblocks. Evaluate and suggest alternatives
Support multiple projects and accommodate frequent interruptions and changing priorities
Take on research projects to improve data processing by leveraging machine learning
The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.
EDUCATION AND EXPERIENCE
SKILLS AND KNOWLEDGE
Must have experience in a big data environment (such as: Hadoop, Spark, Impala, Solr, HBase, Kudu)
Must have experience designing, building and operating in-production big data/stream processing and/or enterprise data warehouse
Must have experience with large scale, concurrent applications
Must have experience with at least one compiled language (Java)
Must have experience building backend RESTful web services
Must have experience with SQL and relational database systems (e.g., Oracle, SQL Server)
Must have experience with Linux
Must have experience working in a DevOps culture or concepts
Familiarity with common data science toolkits, such as R and Python
Strong problem-solving capabilities and exhibits strong Computer Science Fundamentals
Experience working with Agile and Lean Practices
Excellent communication skills
Availity is an equal opportunity employer and makes decisions in employment matters without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances.
Availity is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
NOTICE: Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility. Learn more about E-Verify at http://www.dhs.gov/e-verify.
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