Senior Data Engineer/Analyst

Posted 14 Days Ago
Old Main Post Office, Athens, AL
Hybrid
Senior level
Blockchain • Fintech • Cryptocurrency
We are the industry’s leading cryptocurrency ATM operator
The Role
As a Senior Data Engineer at CoinFlip, you will develop scalable data pipelines, optimize data models, perform analysis and create visualizations to enable data-driven decisions. Collaborating with cross-functional teams, you will ensure data accuracy and mentor junior members in a dynamic startup environment.
Summary Generated by Built In

CoinFlip is a global digital currency platform company, focused on providing consumers simple and secure access to buy and sell cryptocurrency. The company operates the world's largest network of cryptocurrency kiosks by transaction volume with more than 5,000 kiosks across 49 U.S. states, Puerto Rico, Canada, Australia, New Zealand, South Africa, Italy, Panama, Brazil and Mexico. CoinFlip’s digital currency kiosks make buying and selling major cryptocurrencies accessible and safe for consumers who wish to purchase their digital currency using cash. CoinFlip also operates CoinFlip Preferred, a personalized over-the-counter service that provides investors with custom, white glove support for their cryptocurrency transactions. In 2022, CoinFlip launched CoinFlip Ventures, an investment group offering coaching, funding, and networking support to early-stage crypto and web3 projects.  

CoinFlip was founded in 2015 by Daniel Polotsky, Kris Dayrit, Alan Gurevich, and Ben Weiss. Headquartered in Chicago, CoinFlip placed in the top 500 on the 2021, 2022, and 2023 Inc. 5000 list, and on the 2022 and 2023 Deloitte Technology Fast 500, was named the 2021 and 2022 #1 fastest-growing company in Chicago by Crain's, ranked in Chicago Tribune’s Top Workplaces in 2021 and 2022, and was awarded the 2021 and 2022 Stevie ® Awards for Customer Service. To learn more about CoinFlip and how to get started on your digital currency journey, visit www.CoinFlip.tech.

We are seeking a highly skilled and experienced Senior Data Engineer to join our fast-growing startup at CoinFlip! As a Senior Data Engineer, you will play a crucial role in driving data-driven decision making and developing innovative solutions to optimize our analytics infrastructure. You will collaborate with cross-functional teams, including data and software engineers, and product managers to ensure the accuracy, reliability, and scalability of our data systems. 

Responsibilities: 

  • Develop and maintain scalable data pipelines and ETL processes to ingest, process, and transform large amounts of structured and unstructured data from valuable sources. 

  • Design, build, and optimize data models and databases to ensure efficient storage and retrieval of data for analytical purposes. 

  • Perform data analysis, data mining, and statistical modeling to identify trends, patterns, and correlations in the data. 

  • Build and maintain data visualizations, dashboards, and reports to present insights and findings to both technical and non-technical stakeholders. 

  • Conduct data quality assessments and implement governance practices to ensure accuracy, consistency, and integrity of the data. 

  • Mentor and provide guidance to junior team members, fostering a collaborative environment. 

  • Other duties as assigned. 

Qualifications: 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 

  • Proven experience as a Data Engineer, Software Engineer, Data Analyst, or similar role, preferably in the fintech or crypto industry. 

  • Strong proficiency in SQL and experience with relational databases (e.g. Redshift, MySQL, PostgreSQL) and NoSQL databases (e.g. MongoDB, Cassandra). 

  • Proficiency in programming languages such as SQL, Python, or Java for data manipulation, analysis, and scripting.  

  • Efficiently retrieve and process data from various API endpoints to support application functionality and data analysis. 

  • Experience with big data technologies and frameworks (e.g. Hadoop, Spark, Kafka), cloud platforms (e.g. AWS, Azure, GCP), Orchestraction tools (Airflow, Dagster), GitLab, DBT, Terraform, Liquibase. 

  • Solid understanding of data warehousing concepts, data modeling techniques, and dimensional modeling. 

  • Knowledge of statistical analysis, machine learning, and data visualization tools (e.g. Tableau, Power BI, d3.js) is a plus. 

  • Strong problem-solving skills and ability to work with large, complex datasets. 

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.

Top Skills

Java
Python
SQL
The Company
HQ: Chicago, IL
197 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

At CoinFlip, we believe that cryptocurrency provides the potential for an inclusive financial system. We are committed to accelerating crypto adoption through our network of Bitcoin ATMs. We are a profitable early-stage startup that is growing at an exciting pace. Join us on our journey to leadership in the crypto space!

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