Data Ops Engineer
Company: Chartis
Location: Chicago
Posted on: October 19, 2024
Job Description:
Data Ops Engineer Position DescriptionAbout ChartisHealthScape
Advisors is a management consulting firm dedicated to helping
health plans, provider organizations, specialty health
organizations, and investors navigate the continuously evolving
healthcare landscape. We bring healthcare executives market-leading
insights and actionable strategies that create sustainable value by
looking beyond today's solutions and focusing on the capabilities
and resources needed to execute our recommendations. To do this,
our professionals leverage a pragmatic approach and unparalleled
expertise to empower every engagement.Along with Chartis, we are
comprised of uniquely experienced senior healthcare professionals
and consultants who apply a distinctive knowledge of healthcare
economics, markets, clinical models, and technology to help each
client address their most pressing issues. We question everything
and apply thoughtful and rigorous analysis to each challenge,
issue, and opportunity.We are lucky to have extraordinarily
talented people working in our firm - all brought together around
our unifying mission, a shared dedication to our core values, and
the emphasis we place on creating an environment that enriches the
experiences of our clients, colleagues, and communities. In this
way, we find that we are remarkably aligned with our clients. And
that has made for achieving some truly great things.Role
OverviewData Ops Engineers play an exciting role in sculpting the
Analytics team at HealthScape, helping to design, build, and deploy
cutting-edge capabilities to aid our clients across the healthcare
industry while helping the growth of data analytics at the
firm.Responsibilities
- Design, build, and maintain processes and components of a
streaming data to support real-time analytics (from requirements to
data transformation, data modeling, metric definition, reporting,
etc.)
- Develop code using Big Data Technologies such as Spark to write
MapReduce and in-memory applications using Java, Scala, SQL,
Python, R languages, Hive, etc.
- Lead the translation, integration, and evolution of analytics
artifacts deployed on client engagements into standardized and
scalable components of the HealthScape analytics
infrastructure.
- Collaborate with analytics team members to design and manage
technological infrastructure across multiple data platforms.
- Identify business-aligned emerging healthcare analytic themes
in collaboration with leadership and lead innovation with the
design and development of new capabilities and solutions.
- Develop compelling PoCs for data solutions using emerging
technologies for real-time and big data ingestion and
processing.
- Help define standards and best practices for enterprise
usage.
- Support the continued development of data and analytics culture
across HealthScape Advisors through knowledge share,
cross-functional training, and mentorship.
- Ensure the security, confidentiality, and integrity of client
information for yourself and the team you supervise.Qualifications
and Desired Skills
- 3 to 5 years of applicable experience in Data Analytic, Data
Science, Data Engineering, or Software Engineering.
- Previous exposure to common healthcare data file formats (e.g.
837s, EMR, administrative claims data, etc.)
- Bachelor's Degree in technology-related field of study (e.g.
Computer Science, Health Informatics, Management Information
Systems (MIS), Data Science, Analytics, etc.)
- Strong programming experience executing analytics with
programming languages like SQL, Python, R, Spark, PySpark, Scala,
and/or JavaScript with deployment via notebook tools like Jupyter
or Zeppelin.
- Previous experience with emerging big data processing
technologies (Spark, Kafka, Hive, Hadoop/MapReduce, etc.)
- Ability to aid in implementation of DevOps with knowledge and
experience of various digital applications such as AWS, Linux,
etc.
- Strong interpersonal and communication skills - possessing the
ability to communicate and deliver complex analytics information to
clients and executive audiences.
- Complex problem-solving and critical thinking skills - ability
to identify, critically assess, evaluate options, and implement
solutions in a fast-paced and dynamic environment.
- Ability to use logic and reason to identify strengths and
weaknesses of alternative solutions, conclusions, or approaches to
problems.
- Ability to combine pieces of information to form general rules
or conclusions (includes finding a relationship among seemingly
unrelated information or events).
- Eagerness to mentor/train/knowledge-share with the team.
- Enthusiasm to navigate and continue learning in an
entrepreneurial environment.At Healthscape, we pride ourselves on
having a diverse workforce. We value and celebrate the uniqueness
of individuals and the different perspectives they provide. We
offer equal opportunity employment regardless of race, color,
religion, gender identity or expression, sexual orientation,
national origin, genetics, disability status, age, marital status,
or protected veteran status.Boston - Chicago - Nashville - New York
- San Francisco
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Keywords: Chartis, Elgin , Data Ops Engineer, Engineering , Chicago, Illinois
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