Data Engineer II
Austin, Texas, United States, Remote
Applications have closed
SparkCognition
SparkCognition builds AI platforms that enable the world’s most creative problem solvers to ignite lasting impact in their organizations and the world.
Voted Best Places to Work in Austin, Best Paying Companies,
and Top Startup Companies by Forbes
SparkCognition looks to bring in the best talent in the world. To accommodate the hiring of our wildly talented teams, SparkCognition sponsors visa opportunities when appropriate.
Who are we and why this opportunity?
Drive change and create a footprint. SparkCognition invests in our employees and fosters
collaboration throughout the organization. Our employees have the ability to work globally
with award-winning artificial intelligence (AI) technology within multiple industries.
What are the benefits and perks at SparkCognition?
You and your loved ones will be supported with a competitive and comprehensive benefits package.
Below are some highlights - we’d love to connect and share more!
- Fast-paced evolving culture with the opportunity to drive new ideas and technology.
- Dynamic Work Environment - Remote and In-Office Options
- Stock Option Grants
- Generous Time Off Programs
- Medical Coverage, and Parental Leave Plans
- 401k with Employer Match
- Monthly Technology Allowance
- Large 2022 renovated office space centrally located near the Arboretum in Austin, TX- including fully stocked beverage and snack areas!
Join us in:
- Participating in developing and deploying fault tolerant & scalable ETL pipelines
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability
- Perform data visualization and enable development of ML algorithms
- Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
You’ll have:
- 3+ years of experience in data engineering & strong understanding of data engineering principles using big data technologies
- Excellent programming skills in Python is mandatory
- Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL.
- Exposure to deploying ETL pipelines such as AirFlow, Docker containers & Lambda functions
- Experience in AWS loud services such as AWS CLI, Glue, Kinesis etc.
- Experience using Tableau for data visualization is a plus
- Motivated, can-do attitude and desire to make a change is a must
- Excellent communication skills
It would be great if you had:
- Experience in renewable energy or IoT time series data
- Exposure to NoSQL such as Cassandra or MongoDB
- Ability to demonstrate a portfolio of projects
Explore SparkCognition:
https://www.sparkcognition.com/company/
SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.#remote #ai #bethespark
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Big Data Cassandra Data visualization Docker Engineering ETL Kinesis Lambda Machine Learning MongoDB MS SQL MySQL NoSQL Pipelines PostgreSQL Python RDBMS SQL Tableau
Perks/benefits: 401(k) matching Equity Health care Medical leave Parental leave Startup environment
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