Data Solutions Engineer

AcreTrader Inc; Fayetteville (AR); On-site; USD 85,000 - 115,000; Full time

Job summary

AcreTrader Inc is seeking a Data Solutions Engineer passionate about leveraging geospatial datasets to enhance sales and customer success. In this role, you'll work closely with cross-functional teams to develop compelling data products and ensure smooth client onboarding and support. A collaborative mindset and strong technical skills in Python and PostgreSQL are essential for success.

Benefits

Medical, vision, and dental insurance

401k plan with 4% employer match

Unlimited Paid Time Off

Generous stock options

Qualifications

• Intermediate to Advanced proficiency in Python, especially with data analysis libraries.
• Proven experience with large geospatial datasets in SaaS or DaaS environments.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop collateral and reports showcasing geospatial data for marketing and sales.
• Manage client data migrations ensuring accuracy and efficiency.
• Support Sales and Marketing teams as a data expert.

Skills

Python

PostgreSQL

Geospatial Data

SQL

Communication

Tools

PostGIS

GDAL

QGIS

Job description

Acres is a leading land intelligence platform analyzing over 150M U.S. land parcels to power faster, smarter decisions for real estate, corporate, agriculture, and finance. Our mission: bring data-driven transparency to America’s largest asset. Learn more at Acres.com.

We are dedicated to the growth of our platform and the growth of our people. We're looking for high performers who go about their work with a sense of curiosity, responsibility, and a drive to make things better.We are a primarily onsite team located in beautiful downtown Fayetteville, Arkansas and may consider remote employment with travel in certain cases but will also offer a generous relocation package to qualified candidates for full-time positions.

*Note: Acres seeks qualified candidates who are eligible to work in the United States. We are unable at this time to provide any sponsorship for work authorization.

Why Join Acres?

• World-class team: we take talent density seriously. We like working with incredibly smart, driven people who are passionate about our platform, our customers, and their own ability to make an impact on the outcomes of our business. This may be the best group of humans you've worked with.
• Velocity and Urgency: we work fast, which means you'll learn a lot, be exposed to many facets of the business, and the role you're being hired for is needed and impactful to the outcomes of our business. You won't be bored.
• Cutting Edge Product and Technology: Our platform is state-of-the-art and powerful. We're creating tools that make people smarter, reinventing how you discover, create, and share relevant data. You'll be proud of what you create.
• Compensation and Benefits: to support our hardworking team, in addition to competitive compensation plans, we also offer all full-time regular employees:
• medical, vision, and dental insurance for employee, spouse, and dependents
• 401k plan with 4% employer match
• unlimited Paid Time Off
• generous stock options

Acres is an equal opportunity employer and recognizes that diverse teams are the strongest teams. We encourage interested individuals of all backgrounds to apply.

Data Solutions Engineer Position Overview:

We are seeking a motivated and skilled Data Solutions Engineer to join our dynamic data team. This role is central to leveraging our rich geospatial datasets to drive sales and marketing efforts, ensure customer success, and pioneer new data products for client consumption. The ideal candidate is a proactive problem-solver with strong technical skills in Python and PostgreSQL, a passion for geospatial data, and excellent communication and organizational abilities to bridge the gap between technical teams and client-facing functions.

Key Responsibilities:

• Develop compelling collateral (e.g., maps, visualizations, case studies) and reports that showcase the power and utility of our geospatial data in collaboration with the product, design, sales, and marketing teams.
• Construct data product prototypes and demonstrations tailored to prospective client needs, translating complex data capabilities into clear business value.
• Support Sales and Marketing teams as data subject matter expert in critical client communications.
• Customer Success & Data Migration:
• Serve as a key technical resource and subject matter expert for the customer success team, addressing inquiries regarding data sources, quality, methodologies, and resolving data-related issues.
• Manage and execute new client data migrations, ensuring accuracy, efficiency, and a smooth onboarding experience.
• Act as a crucial interface between client-facing teams and the data engineering team when needed.
• Triage, prioritize, and support custom data requests and clearly communicate requirements with the data and engineering teams when needed.

Qualifications & Skills:

• Technical Expertise:
• Python: Intermediate to Advanced proficiency, including libraries commonly used in data analysis, manipulation, and geospatial processing (e.g., Pandas, GeoPandas, Shapely, Rasterio, Streamlit/Dash).
• PostgreSQL/PostGIS: Intermediate to Advanced proficiency in SQL, with specific experience in querying, managing, and analyzing geospatial data within PostgreSQL using PostGIS and/or via Python.
• GIS: Solid understanding of geospatial data types (vector, raster), projections, and common geospatial processing tools such as GDAL and QGIS analysis techniques.
• Experience:
• Proven experience working with diverse and large geospatial datasets in Saas and/or DaaS business environments.
• Demonstrated ability to translate complex data into clear, concise, and compelling narratives for both technical and non-technical audiences.
• Experience in client-facing or cross-functional roles is essential, with particular emphasis on growing existing accounts, managing new client relationships, and developing internal solutions to support enterprise sales.
• Soft Skills:
• Excellent communication (written, verbal, and presentation) and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple priorities and projects in a fast-paced environment.
• A collaborative team player with a proactive and results-oriented mindset.
• Eagerness to learn new technologies and continuously improve processes.