Treeswift

Treeswift

Data Platform Engineer

New York Office · Mid · Full-time

Sponsorship not specified$180k-$230kDetected 28 days ago
PythonNode.jsFull-Stack DevelopmentMongoDBAWSKubernetesPlatform EngineeringMachine LearningAirflowData EngineeringRoboticsSensorsCommunicationCollaboration

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You are a skilled and motivated Data Platform Engineer.
  • We run Apache Airflow 3 on Astronomer with pipelines that process terabytes of real-world physical data across many file types-imagery, audio, point clouds, and more.
  • You will work closely with our in-house ML team (feature pipelines and model deployment live in these DAGs) and coordinate with our hardware team on ingestion and formats.

Responsibilities

  • We build physical AI for the field worker:
  • Come build the future of (field) work with us.
  • Design, build, and maintain data pipelines at scale.
  • You will develop and evolve DAGs that orchestrate complex, multi-step workflows: dozens of tasks, fan out/in in pipelines, Python and Kubernetes operators split across generalized and specialized node pools, and dynamic DAG generation.
  • You will partner closely with some of the largest utilities in the country and contribute to efforts to develop new workflows in work planning, construction and disaster response.

Requirements

  • We value the full picture you bring-whether that's deep expertise in orchestration, a knack for debugging at scale, or hidden talents outside work.
  • Bachelor's degree in Computer Science, Computer Engineering, Math, or a related field (or equivalent experience).
  • 4+ years of data engineering or backend engineering experience with a focus on pipelines, orchestration, or platform.
  • Experience with cloud object storage and data-at-scale (we use AWS and S3
  • cloud experience is required, but prior AWS experience is not).
  • Experience with Apache Airflow (especially 3.x) and/or Astronomer.
  • Experience with geospatial data, imagery, lidar, or point clouds.
  • You are comfortable picking up new parts of the stack when needed.

Compensation

  • The estimated salary range for this position is $180,000 - 230,000 USD.
  • This salary estimate excludes the value of any potential bonuses

Benefits

  • Competitive salary and equity package
  • Comprehensive medical, dental, and vision coverage for you and your eligible dependents
  • Life insurance and short- and long-term disability coverage
  • 16 weeks of fully paid parental leave to support all new parents
  • Flexible, unlimited paid time off
  • 401(k) retirement savings plan
  • Commuter benefits
  • the value of any benefits offered

Company info

  • Our technology has enabled our customers to reduce wildfire risk, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.
  • To tackle this challenge, we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB).
  • We are headquartered in midtown Manhattan, with additional offices in San Francisco and Philadelphia.
  • Scope is a mix of pipeline development and platform ownership and we are happy to adjust the scope and balance of responsibilities based on your interests and strengths.
  • Be an owner at Treeswift; make the company better in whatever form that takes.
  • We are a small team where many people wear multiple hats.
  • We take pride in managing complexity and providing high-fidelity data that our customers can use to make better-informed decisions.
  • Curiosity. We are constantly learning - from each other and from our customers.. We aren't afraid to learn we were wrong in the process and adapt our approach accordingly.
  • Our platform is powered by cutting edge hardware, sensors (LiDAR, camera, etc…), AI and software designed to revolutionize work in the toughest environments.
  • We're looking for deeply curious and highly ambitious people who want to have a real world impact.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Treeswift's careers page and normalized into a canonical job model.