Data Engineer & Scientific Programmer

Michael Baker International

Lakewood, CO
$80,000-120,000 per year
Permanent
Full-time

WHO WE ARE

Supported by more than 3,000 employees in nearly 100 locations across the United States, we provide a full continuum of engineering and consulting services, including design, planning, architectural, environmental, construction and program management. Our clients include U.S. federal, state and municipal governments, foreign allied governments, and a wide range of commercial clients. Michael Baker is committed to delivering a standard of excellence that fosters a culture of innovation, collaboration and technological advancement to help solve our clients’ complex challenges.

WATER PRACTICE

Michael Baker International’s Water Group provides innovative consulting, planning and engineering solutions for the entire spectrum of the water cycle. We have proven experience in providing a full range of professional services from scientific and technical analysis, concept through design, and construction support services. Protection and management of water resources starts at the watershed level and follows the movement of water through urban and agricultural areas, streams, lakes and reservoirs, water distribution systems, wastewater collection systems, and water/wastewater treatment plants.

DATA AUTOMATION AND ANALYTICS GROUP

The Data Automation and Analytics group resides in the Lakewood, Colorado office and is comprised of team members local to Denver and those working remotely from other states. The group serves as a hub for innovation in the water resource engineering domain with a specialization in process automation, application of advanced analytic methodologies to civil engineering problems, and expansion of programming skills and best practices to the greater Michael Baker International workforce across various engineering disciplines and scientific fields. We work on both internal initiatives and client focused engagements and are committed to continual improvement and the highest quality outcomes for our clients, the communities we work in, and our colleague’s job satisfaction. Our contributions cover the AI spectrum of robust tool development, one-off automation scripts, cloud computing, big data processing, statistics, remote sensing, machine learning, neural nets, and website development. Each of our members have a technical background in engineering or earth science to complement our programming skills such that we are capable of identifying needs, understanding requirements, designing solutions, and solving implementation.

DESCRIPTION

Our Lakewood office is seeking a data engineer/scientific programmer to advance our engineering toolsets, data science initiatives, and operational capabilities. This role will support our Lakewood water group, collaborate with water resource engineers in other offices, and to a growing degree work across other civil engineering disciplines to support digital transformation in a quickly evolving industry.

Given the wide diversity of project types we collaborate on, this role requires a combination of innovation, creativity, discernment, and programming proficiency. While a background in civil engineering, planning, environmental science, or GIS is preferred, our team can provide this framework if the individual’s understanding of data engineering and applied programming is strong.

The successful candidate will work closely with existing staff to maintain and improve existing tools and client-facing applications, operationalize proof-of-concept solutions with market potential, and ensure application of software engineering best practices across all levels of project execution. Additionally, the role will work with Michael Baker Project Managers and directly with clients to identify high-value opportunities and develop novel automation and analytics solutions that are likely to include applications of machine learning, deep learning, and classical statistics. The work environment will be highly collaborative with frequent brainstorming, trials, and revisions.

PROFESSIONAL REQUIREMENTS

Bachelor’s degree in Civil Engineering, GIS, or Data Analytics (MS preferred)

>1 year of exposure to software best practices that support legibility, adaptability, scalability, maintainability, and deploy-ability.

>1 year of experience using common data engineering tools such as Docker, PostgreSQL, Airflow or similar, and cloud computing environments and tools (AWS, Azure, GCP, etc).

>2 years of experience in applied science using programming, ML/Deep Learning, and statistical analysis.

Programming proficiency in Python (e.g., NumPy, SciPy, Pandas, Scikit-Learn, Tensorflow, PyTorch, Multiprocessing), R (e.g., dplyr, ggplot2, terra, LidR), and/or SQL (e.g., PostgreSQL)

PREFERRED REQUIREMENTS

Familiarity with principles of hydrology and hydraulics, as well as accompanying software such as HEC-HMS and HEC-RAS
Understanding of 2D and unsteady H&H modeling
Strong understanding of statistics and uncertainty, with experience in statistical modeling
Familiarity with open-source geospatial tools such as GDAL, PDAL, and Geopandas.
Interest in developing Spatial Temporal Asset Catalogs (STACs), graph databases, and other novel data storage and access solutions.
Experience with remote sensing methodologies
Basic skills in one or more compiled languages (e.g., C++, Go, Scala)
Experience with cloud infrastructure and tools
Mentoring skills

COMPENSATION

The approximate compensation range for this position is $80,000 to $120,000. This compensation range is a good faith estimate for the position at the time of posting. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location.

BENEFITS

We offer a comprehensive benefits package including: