Python Data Engineer

The position: Python Data Engineer

StratoDem Analytics is currently seeking a Python Data Engineer who will contribute from Day 1 to build data analytics pipelines, scalable Python-based APIs, and new data products for the real estate field. This position is for someone seeking a challenging, growth-oriented environment with highly-collaborative work.

The company: StratoDem Analytics

StratoDem Analytics is a data science venture building predictive models on massive data for better US local-market knowledge. StratoDem Analytics helps some of the largest private equity funds and real estate organizations in the US make better portfolio-level and business decisions based on a fundamentally better understanding of local-market economic risk and demographic outlooks.

Location: Boston, MA; Providence, RI; or Albany, NY

StratoDem Analytics is based in downtown Boston. This position may be available at satellite positions in Providence, RI and Albany, NY.


This role will involve:

  • Designing and developing as a team contributor to StratoDem Analytics products and client deliveries
  • Learning and sharing new data science technologies with the StratoDem Analytics team
  • Efficiently bringing ideas from concept to production via sketches and diagrams
  • Building within, and improving, the StratoDem Analytics analytics pipeline
  • Writing clean, fully-tested and well-documented code in Python 3.5+ with pandas, NumPy, Dask, TensorFlow, scikit-learn and Django
  • Leveraging pre-existing internal and external code to deliver different products each month (e.g. one month may be a mapping dashboard, the next may be a portfolio analysis engine)
  • Working directly with company founders on model building, database design and deployment strategies
  • Working directly with clients to identify pain points and opportunities in pre-existing analytics pipelines and build or improve StratoDem Analytics products


For this role, candidates must be uniquely focused on error-free, optimized algorithm design through a fast, iterative development and research cycle. Because clients typically make portfolio-altering decisions based on StratoDem Analytics deliveries, a strong background in producing bug-free, concise, scalable code that fits into a large ecosystem is required.

The ideal candidate for this role has strong Python expertise and experience with the following:

  • Python server-side frameworks such as Django or Flask
  • Complex modeling of large, unclean data sets with the Python data science stack of pandas, NumPy, scikit-learn, Dask and TensorFlow
  • Advanced SQL queries and relational databases
  • Advanced usage of spatial database engines such as PostGIS
  • Writing testable, component-based code and writing tests with complete logical coverage of code
  • Git and GitHub workflows in a team environment

In addition, the following experience is a big plus:

  • Advanced financial statistics and probability
  • GIS software and algorithms
  • AWS
  • Significant Linux experience

Source code samples (preferably a link to a GitHub account) required. MA, MS or equivalent work experience preferred. To apply, send cover note, resume and ideally a link to a GitHub account to [email protected].

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Faster analysis
Now, not later.

  •   Nowcasting critical economic and demographic indicators.
  •   Instantaneous data integration and analytics.

Greater depth
Data where it matters.

  •   Geographic breakdowns for states, metros, counties, cities, Census tracts, and block groups.
  •   Demographic information by employment, age, education, income, household structure, and more.

Higher quality
We get it right.

  •   More accurate than official government forecasts.
  •   More precise than current-generation data services.

StratoDem helps clients prepare for economic and demographic forces shaping market outcomes.

We quantify, simplify, and predict forces at all levels of geographic detail. We're partnering with industry leaders, investors, and real estate developers to help them make decisions faster, earlier, and better.

Learn more about StratoDem →