Senior Engineer, Data

| Greater NYC Area
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POSITION DESCRIPTION

As a Senior Data Engineer, you will be responsible for developing next generation data pipelines for IoT wearable devices. We are seeking an engineer with many years of experience in the domain, proficient at SDLC and engineering cycles.  You have deep experience with the big data software stack(s). You are up to the challenge of evolving StrongArm’s big data systems, scaling these to hundreds of thousands of industrial athletes, and leveraging advanced techniques like ML edge computing, geolocation analysis, and computer vision.

You must be able uphold quality engineering principles and enjoy holding responsibilities solving advanced problems.

We are highly collaborative. Our open office environment is people-focused - we joke, have fun, and enjoy each other's company when we can, but aren’t afraid to roll up our sleeves and get things done. We are looking for driven and open-minded engineers with exceptional analytical abilities who can wear a number of hats from data engineering, dev-ops, software design, software development, system administration and system architecture.

 

PRIMARY RESPONSIBILITIES

  • Individual contributor using Python with a system trajectory towards Scala
  • Provide technical leadership in Data Engineering design principles
  • Design and implement highly available / scalable data pipelines using Apache Spark for ETL jobs that process data from 100s of thousands of sensors.
  • Build big data interfaces compatible across IoT systems using SWIG
  • Partner with the Data Science team to implement advanced statistical models and machine learning that run on edge devices
  • Partner with the Embedded Engineering team to build interfaces between IoT devices and data pipelines for ingesting data
  • Provide leadership to the team on best practices and architecture in big data systems and Machine Learning pipelines
  • Own data modeling implementation for huge scale
  • Optimize data pipelines for performance and scalability
  • Establish automated mechanisms to improve data integrity across all big data sets.
  • Leverage strategic and analytical skills to understand and solve customer and business centric questions
  • Monitor and troubleshoot performance issues for production pipelines
  • Learn about new technologies and add to StrongArm’s Big Data tech stack
  • Data Warehouse management in Databricks using Delta Lake
  • Contribute to the data engineering roadmap
  • Coordinate multiple Data Engineering projects
  • Mentor team members

 

TECHNICAL QUALIFICATIONS

  • 5+ years experience in data engineering
  • Experience building systems using Apache Spark that have processed terabytes of data in production
  • Experience productionizing data science models and algorithms to run at scale
  • Experience with distributed data streaming frameworks like Spark Structured Streaming, Apache Flink, Kinesis, etc
  • Advanced Experience with RDBMS and SQL
  • Experience with automated testing for distributed systems in Spark (unit testing, end to end testing, QA, CI/CD)
  • Experience designing end to end pipeline architectures
  • Experience managing data warehouses in a production environment (Delta Lake, Snowflake, Redshift, Bigquery, Presto)
  • Scala and Python proficiency
  • Experience leveraging cloud systems to build data pipelines (BigQuery, Redshift, AWS Kinesis, AWS S3, GCS)
  • Linux proficiency, this is the means by which things are engineered well.

 

BONUS SKILLS

  • Experience extending Apache Spark (DataSource API, Catalyst Optimizer)
  • Experience with productionizing machine learning at scale and A/B testing new models: scikit-learn, tensorflow, pytorch
  • Experience building systems to train machine learning models at terabyte scale.
  • Experience working with Hadoop
  • Experience using workflow management systems like Airflow or equivalent
  • Experience working with datasets that measure physical phenomena.
  • noSQL solutions: Cassandra, HDFS and/or Elasticsearch
  • Experience as an open source contributor
  • Experience with BI tools (Looker, Redash)
  • Experience building systems with data governance
  • Strong Mathematics background (Linear Algebra, Statistics, Physics, Complex Variables, Calculus)

Location: Brooklyn, NY

StrongArm Technologies is an equal opportunity employer


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Location

The Navy Yard is an exciting and growing tech hub, we have access to New Lab, a food hall, Wegmans, and a diverse selection of eateries on Myrtle ave.

An Insider's view of StrongArm Technologies

What’s the vibe like in the office?

StrongArm feels like a family. The office is open, relaxed and comfortable. Our people are warm, and invested in each other both personally and professionally. Everyone laughs daily. Noone eats lunch alone. We move fast and demand hard work, but we always achieve our goal by helping teammates go to another level.

Lindsay

Manager, Clients

What makes someone successful on your team?

Being trust-worthy and having an enthusiastic attitude is essential. Our team is made up of incredible leaders who continuously forge their paths. To be successful at StrongArm you must have respect for your teammates, desire to lead, an openness to being challenged and always learning.

Siva

Data Scientist

How do you empower your team to be more creative?

We run a relatively flat organization which is our key to driving true innovation. We chase the fastest path to insight not the fastest path to a solution. In order for that to work, everyone needs to check their egos at the door, everyone needs to be on the same page and everyone owns their work. Our cultural values reflect those principles.

Sean

CEO & Founder

What kinds of technical challenges do you and your team face?

We are building a data pipeline with Spark that solves problems like dynamic scaling, schema evolution, cluster monitoring, data quality analysis, and ML empowerment. These problems require a wide range of skills. It keeps me excited to come to work every day, knowing there’s a problem waiting for me which will teach me something new.

Matt

Data Engineer

What are StrongArm Technologies Perks + Benefits

StrongArm Technologies Benefits Overview

At StrongArm, we have flexible work hours and unlimited vacation time because we trust our teammate's judgement and dedication to our mission. Solid relationships and trust in our teammates are the glue that holds the team together. Our team truly enjoys our time together. In addition to monthly sponsored events, teammates regularly head to a bar or restaurant outside of work, have each other over for holiday parties, meet our significant others, or celebrate special days together.

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Diversity manifesto
Mean gender pay gap below 10%
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Acme employees can contribute up to $4000 annually to their FSA.
Dental Benefits
Vision Benefits
Health Insurance Benefits
Wellness Programs
Retirement & Stock Options Benefits
401(K)
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Vacation & Time Off Benefits
Unlimited Vacation Policy
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Happy Hours
Happy hours are hosted At team's discretion.
Parking
Pet Friendly
Acme Co.'s pet policy is dog friendly daily, Occasional bring your pet to work days.
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
Acme Co. offers employees professional development opportunities like Annual individual budget for training, Onsite training courses, The ability to attend job related conferences and seminars.
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Continuing Education stipend
We offer $1500 annually for continuing education.
Customized development tracks
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