Senior Data Engineer, Data Science Product Innovation
Company: Brightree
Location: San Diego
Posted on: January 14, 2021
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Job Description:
Digital Health Technology team powers digital experiences and
engagement to enhance the lives of millions of people every day
through connected care. We build, deliver and manage a portfolio of
data management platforms and mobile offerings in support of our
core businesses. We thrive on simple and elegant architecture and
agility. You'll be immersed in a dynamic high-growth environment
and empowered to excel, take informed risks, and drive ingenuity
across the enterprise.Let's talk about the team and you:We are
looking for a savvy Senior Data Engineer to join our growing team
of platform experts. You will be responsible for expanding and
optimizing our data and data pipeline architecture, as well as
optimizing data flow and collection for cross-functional teams.You
are an experienced data pipeline builder and data wrangler who
enjoys optimizing data systems and building them from the ground
up. The goal is to support our software developers, database
architects, data analysts and data scientists on data initiatives
to ensure optimal data delivery architecture is consistent
throughout ongoing projects.You are self-directed and comfortable
supporting the needs of multiple teams, systems and products. You
are excited by the prospect of optimizing or even re-designing our
company's data architecture to support our next generation of
products and data initiatives. You are a team player who lifts the
entire team through collaboration, mentoring and sharing your
experience.Let's talk about Responsibilities:Your day to day focus
will be dynamic and ever-changing, but you and your team will be
driving the business forward by:* Create and maintain optimal data
pipeline architecture,* Assemble large, complex data sets that meet
functional / non-functional business requirements.* Identify,
design, and implement internal process improvements: automating
manual processes, optimizing data delivery, re-designing
infrastructure for greater scalability, etc.* Build the
infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using Python
and AWS 'big data' technologies like Glue, Lambda, EMR etc.* Work
with stakeholders including the Executive, Product, Data and Design
teams to assist with data-related technical issues and support
their data infrastructure needs.* Keep our data separated and
secure across national boundaries through multiple data centers and
AWS regions.* Work on data tools for analytics and data scientist
team members that assist them in building and optimizing our
product into an innovative industry leader.* Work with data and
analytics experts to strive for greater functionality in our data
systems.Let's talk about Qualifications & Experience:You will have
4+ years of total experience and 2+ years of experience in a full
cycle Data Engineer role, who has attained a graduate degree in
Computer Science, Statistics, Informatics, Information Systems or
another quantitative field or equivalent working experience.Your
strongest experience will be using the following software/tools:*
Excellent Python coding knowledge* Must have previous experience
creating/running Python or Pyspark jobs working within AWS Glue.*
Experience building and working with AWS Data Lakes* Experience
working on AWS Data Pipeline and CI/CD processesYou will also be
strong in:* Experience with big data tools: Hadoop, Spark, Kafka,
etc.* Experience with data pipeline and workflow management tools:
Luigi, Airflow, AWS Step etc.* Experience with AWS cloud services:
EMR, RDS, Redshift* Experience with stream-processing systems:
Kinesis, Spark-Streaming, etc* Familiarity with a variety of
datasets, structured, semi structured and unstructured etc.*
Experience building and optimizing 'big data' data pipelines,
architecture and data sets.* Experience performing root cause
analysis on internal and external data and processes to answer
specific business questions identify opportunities for
improvement.* Strong analytic skills related to working with
unstructured datasets.* Build processes supporting data
transformation, data structures, metadata, dependency and workload
management.* A successful history of manipulating, processing and
extracting value from large disconnected datasets.* Working
knowledge of message queuing, stream processing, and highly
scalable 'big data' data stores.* Experience supporting and working
with cross-functional teams in a dynamic environment.Let's talk
about what you can expect:* A supportive environment that focuses
on people development and best practices* Opportunity to design,
influence and be innovative* Work with global teams and share new
ideas* Be supported both inside and outside of the work
environment* The opportunity to build something meaningful and see
a direct positive impact on people's lives#LI-NF1Joining us is more
than saying "yes" to making the world a healthier place. It's
discovering a career that's challenging, supportive and inspiring.
Where a culture driven by excellence helps you not only meet your
goals, but also create new ones. We focus on creating a diverse and
inclusive culture, encouraging individual expression in the
workplace and thrive on the innovative ideas this generates. If
this sounds like the workplace for you, apply now!
Keywords: Brightree, San Diego , Senior Data Engineer, Data Science Product Innovation, Engineering , San Diego, California
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