About Us

Intermx is a software and data-as-a-service company. We work with large volumes of disparate data to drive insights for our customers. We source, manage, and interpret primarily population dynamics data, enabling our clients to make strategic decisions based on crucial trends within their industry. At Intermx, we deliver intelligence for brands, real-estate, and modern city-planning professionals via our robust software and data products.

Job Summary

As a fast-growing startup, Intermx is looking for strong candidates at the intersection of data engineering and data science with extensive experience across the board, especially in modeling and development. You will be tasked with:

Designing, prototyping, and developing innovative data solutions for geospatial problems
Building mathematical/machine learning models that sit on top of our primary products
Collaborate with our partners and perform consulting work for our clients to address their data/product needs
Collaborate with other internal or external developers, engineers, and scientists on new methodologies.
Improving, validating, documenting, and performing analytics work on our current data solutions
Automating and maintaining data pipelines and monitoring tasks and processes

An ideal candidate for this position must be a well-versed developer and fully capable of critically analyzing a problem at hand, doing research on viable and effective solutions, performing modeling work, implementing solutions, and analytically assessing the results. You will need to communicate complex concepts and solutions to technical and nontechnical audiences through effective visualizations, statistical analysis, and documentation.

We would want you to be organized yet scrappy, thoughtful, and most importantly, have a strong desire to learn.

Required Qualifications And Skills

PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent degree) or Masters in similar with 2+ years of experience in quantitative analytics, data science, or data engineering
Proven track-record of development in Python
Proven track-record of leveraging cloud computing (preferably AWS and GCP)
Significant SQL experience in at least one of the following: PostgreSQL, PostGIS, BigQuery, RedShift, or Snowflake
Experience with version control (preferably Git/GitHub)
Experience with Linux/Unix command line
Ability to build/test statistical and/or machine learning model
Ability to create effective visualizations in at least one of the following: Tableau, Matplotlib, or ggplot2
Solid critical thinking and problem-solving skills

Preferred Qualifications And Skills

Experience building data pipelines and automating processes with Apache Airflow
Experience with Docker containers
Experience with MongoDB (specifically handling Geojson objects is a plus)
Experience with developing big data applications with PySpark

Salary Range

$120K+

Location

Atlanta, Georgia, or Remote with occasional travel

Benefits

Medical, dental, and vision coverage for you and your dependents
First year of employment gives two weeks of PTO, four weeks thereafter
14 holidays and flex holidays
401(k) plan
Employee equity

Data Engineer Opportunities

Data Engineer