Senior Geospatial Data Engineer at Logic 2020

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

161000.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Geospatial Analytics, Remote Sensing, Apache Sedona, Cloud-native Formats, AWS, ETL, Data Pipelines, Machine Learning, Predictive Modeling, Consulting, Data Processing, Data Lake, Data Pipeline Design

Industry

Business Consulting and Services

Description

Company Description We’re a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Job Description As a Data Engineer joining Logic20/20’s Advanced Analytics practice, you’ll help clients scale their data solutions and make data driven decisions while driving enterprise-level innovation. You’ll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake, data processing, and data pipeline design to help them achieve their business goals. You will work closely with your team including analysts, dashboard developers, and technical project managers to design solutions and work together to deliver a world class solution. You’ll strike a balance of technical skills and business acumen to help clients better understand their core needs and what is possible for future state. What you’ll do: Build and maintain ETL geospatial data pipelines using Apache Spark and Apache Sedona Optimize Spark jobs for performance and cost Communicate at the appropriate level to both business and technology teams to understand business needs and pain points Be creative in meeting the client’s core needs with their technology Explain technical benefits and deficits to non-technical audiences Learn new data tools and best practices Qualifications Required: 5+ years of data engineering experience. Proficient in Python (rioxarray, GDAL, rasterio, geopandas, dask) and SQL for geospatial analytics Experience in remote sensing (optical, and/or LiDAR, SAR), including preprocessing and derived insights for forestry, and/or wildfire applications. Strong experience with Apache Sedona and cloud-native formats (GeoParquet, COG, Zarr) and data access via STAC APIs. Experience building and maintaining automated geospatial data pipelines in AWS (S3, Sagemaker, Lambda, Step Functions, Airflow) Preferred: Experience applying ML techniques to geospatial data for predictive modeling, classification, and anomaly detection. Familiarity with PyTorch, TensorFlow, or scikit-learn in geospatial contexts. Experience working within the Utilities industry Consulting experience Additional Information At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $148K - $161K. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values. Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: https://www.logic2020.com/company/diversity-equity-inclusion Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.

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Responsibilities

As a Data Engineer, you will help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation. You will design and build data pipelines and cloud data solutions, guiding clients through best practices in data processing and pipeline design.