Domnovate
Data Solutions Engineer
Location:
On-site in
Ogden, UT
or
Sandy, UT Overview
We are seeking a skilled
Data Solutions Engineer
to enhance our operational capabilities by leveraging internal and external data assets. This role is crucial in driving business insights, understanding member needs, and optimizing both tactical and strategic decision-making. Key Responsibilities
Serve as the
go-to expert
for data pipelines supporting the operational deployment of Data Science and analytical models. Design and implement
serverless solutions
whenever possible, ensuring optimized performance and scalability. Develop and execute
analytics solution engineering strategies , refining processes as needed. Oversee
DevOps and orchestration
for data marts and analytical workflows. Monitor, secure, and track
data usage while ensuring the effectiveness of analytical products. Collaborate with internal teams to deliver
reliable, accessible, and accurate API services . Ensure compliance with
security, documentation, governance, and regulatory standards . Manage a
small reporting layer
on top of analytical models to provide insights into model performance and impact. Identify
potential risks and opportunities
by analyzing trends and projections. Qualifications
Education: Masters degree
in Information Technology, Computer Science, Statistics, or a related field.
OR Bachelors degree
in a relevant field with
3+ years of equivalent experience . Experience & Skills: 3+ years
of experience designing, developing, and implementing
Data Science solutions . Proven experience in developing
business analytical solutions
for mid-to-large-sized organizations. Ability to
manage multiple priorities
and quickly respond to challenges. Strong communication skills with a
positive, collaborative attitude
that aligns with our company culture. Experience in
financial services
(preferred). Familiarity with
dashboard design and visualization tools
(preferred). Ability to
translate complex concepts into practical, data-driven solutions . Technical Expertise: Development experience with
various data management technologies , including:
NoSQL & relational databases Message brokers
(e.g., RabbitMQ) Multi-dimensional database design
Strong understanding of
data collection, streaming, preparation, analysis, modeling, and algorithm integration . Advanced SQL skills
(experience with
Oracle and Microsoft
preferred). Proficient in Python
for data processing, analysis, and automation. Experience with
Big Data
technologies including
pyspark . Experience with
Airflow
to build
data pipelines . Experience working in a
Linux environment . Familiarity with
kubernetes Exposure to tools like
Anaconda, Jupyter Notebook, and Tableau
(preferred). Kafka and streaming experience is a bonus. Why Join Us?
This role offers the opportunity to work on cutting-edge data solutions within a collaborative, forward-thinking team. If you have a passion for data, innovation, and driving business success, wed love to hear from you! #J-18808-Ljbffr
Location:
On-site in
Ogden, UT
or
Sandy, UT Overview
We are seeking a skilled
Data Solutions Engineer
to enhance our operational capabilities by leveraging internal and external data assets. This role is crucial in driving business insights, understanding member needs, and optimizing both tactical and strategic decision-making. Key Responsibilities
Serve as the
go-to expert
for data pipelines supporting the operational deployment of Data Science and analytical models. Design and implement
serverless solutions
whenever possible, ensuring optimized performance and scalability. Develop and execute
analytics solution engineering strategies , refining processes as needed. Oversee
DevOps and orchestration
for data marts and analytical workflows. Monitor, secure, and track
data usage while ensuring the effectiveness of analytical products. Collaborate with internal teams to deliver
reliable, accessible, and accurate API services . Ensure compliance with
security, documentation, governance, and regulatory standards . Manage a
small reporting layer
on top of analytical models to provide insights into model performance and impact. Identify
potential risks and opportunities
by analyzing trends and projections. Qualifications
Education: Masters degree
in Information Technology, Computer Science, Statistics, or a related field.
OR Bachelors degree
in a relevant field with
3+ years of equivalent experience . Experience & Skills: 3+ years
of experience designing, developing, and implementing
Data Science solutions . Proven experience in developing
business analytical solutions
for mid-to-large-sized organizations. Ability to
manage multiple priorities
and quickly respond to challenges. Strong communication skills with a
positive, collaborative attitude
that aligns with our company culture. Experience in
financial services
(preferred). Familiarity with
dashboard design and visualization tools
(preferred). Ability to
translate complex concepts into practical, data-driven solutions . Technical Expertise: Development experience with
various data management technologies , including:
NoSQL & relational databases Message brokers
(e.g., RabbitMQ) Multi-dimensional database design
Strong understanding of
data collection, streaming, preparation, analysis, modeling, and algorithm integration . Advanced SQL skills
(experience with
Oracle and Microsoft
preferred). Proficient in Python
for data processing, analysis, and automation. Experience with
Big Data
technologies including
pyspark . Experience with
Airflow
to build
data pipelines . Experience working in a
Linux environment . Familiarity with
kubernetes Exposure to tools like
Anaconda, Jupyter Notebook, and Tableau
(preferred). Kafka and streaming experience is a bonus. Why Join Us?
This role offers the opportunity to work on cutting-edge data solutions within a collaborative, forward-thinking team. If you have a passion for data, innovation, and driving business success, wed love to hear from you! #J-18808-Ljbffr