Senior/First Data Engineer

Confirmed live in the last 24 hours

51-200 employees

Interactive platform for playing fantasy leagues

Company Overview

Sleeper stands out in the fantasy sports industry for its user-friendly interface and robust features, such as multi-team trades and trading rookie draft picks, which enhance the gaming experience. The company's commitment to customer service is evident in its interactive and helpful support, ensuring a smooth user experience. This combination of technical excellence and customer focus makes Sleeper a preferred choice for fantasy sports enthusiasts.

Consumer Goods

B2C

Company Stage

Series C

Total Funding

$67.3M

Founded

2015

Headquarters

Las Vegas, Nevada

Growth & Insights

Headcount

6 month growth

↑ 43%

1 year growth

↑ 62%

2 year growth

↑ 88%

Locations

San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Apache Kafka

Data Science

Data Structures & Algorithms

Google Cloud Platform

Java

Airflow

Microsoft Azure

Pandas

Pytorch

Redshift

Scala

Snowflake

SQL

Tensorflow

Python

NoSQL

Cassandra

CategoriesNew

AI & Machine Learning

Data & Analytics

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
5+ years of experience in backend development, with a strong focus on data engineering
Technical skills: Expertise in Python, Java, Scala, and Elixer for backend and ETL processes
Mastery of ETL tools/frameworks (e.g. Apache Kafka, Apache Airflow)
Deep knowledge of SQL/NoSQL databases, including Cassandra and ScyllaDB, and data warehousing solutions (e.g., Redshift, BigQueary, Snowflake)
Proficiency in cloud platforms (AWS, GCP, Azure) and distributed systems
Familiarity with data science concepts, tools, and libraries (e.g. Pandas, Scikit-learn)
Soft Skills: Exceptional problem-solving skills
Strong communication for technical and non-technical discussions

Responsibilities

ETL & Backend Development:

Desired Qualifications

Experience with cloud platforms like AWS, GCP, or Azure
Exceptional communication skills, both verbal and written
Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Position Summary

The Senior/First Data Engineer will play a crucial role in building, maintaining, and enhancing ETL processes that drive our analytics and machine learning platforms. This individual will be responsible for developing actionable insights from complex data sets, and work closely with various business units to inform strategy and decision-making.

You will be the first hire in this function.

Location

SF Bay Area, NYC, or Remote

Key Responsibilities

ETL & Backend Development:

Design and optimize ETL pipelines.
Develop robust backend systems for large-scale data processing using Elixir and database solutions like Cassandra/ScyllaDB.

Data Architecture:

Design scalable and efficient data models for Cassandra and ScyllaDB.
Ensure data integrity, quality, and security.

Data Science Support:

Collaborate with data scientists, providing them with clean and reliable datasets.
Assist in implementing and scaling data science models.

Innovation & Research:

Stay abreast of latest technologies.
Recommend technical improvements for data processing and storage.

Qualifications

Required

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in backend development, with a strong focus on data engineering.
- Technical skills: Expertise in Python, Java, Scala, and Elixer for backend and ETL processes.
- Mastery of ETL tools/frameworks (e.g. Apache Kafka, Apache Airflow).
- Deep knowledge of SQL/NoSQL databases, including Cassandra and ScyllaDB, and data warehousing solutions (e.g., Redshift, BigQueary, Snowflake).
- Proficiency in cloud platforms (AWS, GCP, Azure) and distributed systems.
- Familiarity with data science concepts, tools, and libraries (e.g. Pandas, Scikit-learn).
- Soft Skills: Exceptional problem-solving skills.
- Strong communication for technical and non-technical discussions.

Nice-to-have

Experience with cloud platforms like AWS, GCP, or Azure.
Exceptional communication skills, both verbal and written.
Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Benefits

Competitive salary ($150,000-$225,000/year) and stock options
Comprehensive health, dental, and vision plans
401(k)
Flexible working hours and remote work options
Regular team building events and activities