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Senior Data Engineer/Analytics Engineer
Chicago, IL /
Analytics /
Full-Time
/ On-site
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CoinFlip is a leading fintech company powered by cryptocurrency. Believing everyone deserves to participate in the new digital economy, the company operates one of the world’s largest networks of cryptocurrency ATMs — with over 4,000 active kiosks — as well as an over-the-counter trading desk. In 2022, CoinFlip became an international company by expanding into Canada, and launched CoinFlip Ventures, a new initiative designed to support start-up companies.
CoinFlip placed No. 60 on the 2021 Inc. 5000 list of the nation’s fastest-growing private companies. CoinFlip was also named the 2021 and 2022 #1 fastest-growing company in Chicago by Crain’s Business.
As our growth trajectory continues, we’re looking to quickly expand all of our teams. It’s an exciting time to join CoinFlip as we’re pursuing additional business lines and continued international expansion to further cement us as a leading financial technology company.
We are looking for a seasoned data engineer to lead the data engineering function and to provide hands-on leadership in building the company’s modern data stack. The team lead will work closely with business functions, Technology, Analytics as well as Data Scientist teams to understand data requirements and provide data solutions. The idea candidate will be experienced in transforming data infrastructure and architecture for a data-driven company and be passional about growing a function through the start-up phase into a mature organization.
Responsibilities:
- Design, develop and support data pipelines, warehouses and reporting systems to solve business operations, users and product problems
- Work closely with product engineers and product managers to create, test and maintain data models
- Assist in the implementation of a modern data stack and platform from the ground up.
- Collaborate cross functionally to ensure business and analytics data requirements are supported with robust, scalable, and adaptable data solutions.
- Ensure the best data management and governance practices in data quality, documentation, security, and privacy.
- Build, develop, and manage a high-performing data engineering team through direct coaching and mentorship.
- Provide data and analytics support across the company
Qualifications:
- Data driven mindset with a degree in Computer Science, Analytics, Engineering, or an equivalent technical field.
- 3+ years of hands-on experience in data engineering including data modeling, ETL/ELT, data warehouse/lake management, and data platform development for analytics and data science.
- Experience with building modern cloud-based data stack and platform with the following technologies: Fivetran/Stitch, Dbt, Snowflake/Redshift, Looker/Tableau, Airflow/Airbyte, Kafka, Kubernetes
- Experience with building data pipelines using Python and SQL
- A proven track record of data engineering leadership through critical thinking, thought leadership, technical skills, and relentless drive for data stack development.
- Exceptional ability to communicate complex ideas effectively, both verbal and written, to influence cross-functional stakeholders.
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions.
The Nice To Have's:
- While not a hard requirement, experience with crypto based products and services or Ethereum and the crypto markets is a plus.
- Practical hands on experience with data lake / schema discovery systems and relevant technologies (Confluent/Kafka, Spark, Athena/Glue, DynamoDB etc.)
- Familiarity with the AWS ecosystem (Lambda, RDS, Redshift etc.)
- Experience working for a rapidly growing startup, and managing change
- Experience with Google Ads/B2C businesses
Working at CoinFlip means collaborating with experienced and innovative leaders who share a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical “startup” — we offer competitive salaries, performance-based incentives, and competitive benefits for full-time employees.
CoinFlip values diversity in the workplace and is an equal opportunity employer committed to providing an inclusive and accessible work environment. We thank all candidates who apply, but only those selected for an interview will be contacted.
By applying to this role, you give express consent to CoinFlip to send you informational text (SMS) messages regarding this role and the application process. You can cancel the SMS service at any time by replying "STOP" to the text message you received. If at any time you forget what keywords are supported, just reply "HELP." Message and data rates apply. If you require a special accommodation, please let us know and we’ll work with you to meet your needs.
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Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.