OPEN POSITION
Junior Data Engineer
Join the Lander Analytics team and be part of an innovative group focused on
transforming data into actionable insights. We’re seeking passionate individuals eager
to make an impact in data science and analytics.
Overview
Lander Analytics is a boutique data science and AI firm in New York. We've run the New York Open Statistical Programming Meetup for over a decade, host the New York and Government Data Science & AI Conferences, and write the books and courses people use to learn R and Python. We also build production systems for government agencies, finance, academic research, retail, manufacturing, insurance, energy, pharmaceuticals, and NFL front offices.
Scope
You'll help run the pipelines behind a federal data platform—hundreds of them, in production, moving financial data every day. We're looking for someone early in their career who wants to learn cloud data engineering on a system that's already operating at scale.
Key Responsibilities
Build, test, and maintain ETL pipelines under the guidance of senior engineers
Write clean, well-documented Python for data ingestion, transformation, and validation
Help monitor pipeline runs and troubleshoot data quality issues
Contribute to the team's shared Python library and internal ETL standards
Participate in Agile ceremonies (sprint planning, standups, retros)
Document your work clearly for teammates and stakeholders
Take on increasing ownership of pipelines as you build proficiency
Requirements
0-2 years of experience in data engineering, software engineering, or a related field
Solid foundation in Python and SQL
Basic understanding of ETL concepts and data pipeline design
Familiarity with cloud platforms (AWS preferred)
Strong attention to detail and eagerness to learn
Comfortable asking questions and working collaboratively on a team
Ability to work closely with an entirely remote team
U.S. citizenship, with no dual citizenship, required (federal contract eligibility requirement)
Ability to obtain and maintain a Public Trust designation
Bonus Skills
Exposure to AWS services (Glue, S3, Athena, Lambda, or similar)
Coursework or personal projects involving Apache Spark, dbt or Airflow
Experience with PySpark
Knowledge of Docker
Experience with Git and collaborative development workflows
Interest in data quality, testing, or observability practices
Bachelor's degree in Computer Science, Data Science, or a related field
Lander Analytics does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, physical or mental ability, veteran status, military obligations, or marital status.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.