Job description
Why Blue Coding?
At Blue Coding, we specialize in hiring excellent developers and amazing people from all over Latin America and other parts of the world. For the past 11 years, we’ve helped cutting-edge companies in the United States and Canada build great development teams and develop great products. Large multinationals, digital agencies, Saas providers, and software consulting firms are just a few of our clients. Our team of over 150 engineers, project managers, QA, UX/UI designers, and many more is distributed in more than 10 countries across the Americas. We are a fully remote company working with a wide array of technologies, and we have expertise in every stage of the software development process.
Our team is highly connected, united, and culturally diverse, and our collaborators are involved in many initiatives around the world, from wildlife preservation to volunteering at local charities. We stand for honesty, fairness, respect, efficiency, hard work, and cooperation.
What are we looking for?
We are looking for a Senior Data Engineer to join a global leader in government technology. In this opportunity, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions.
Here are some of the exciting day-to-day challenges you will face in this role:
- Work with business stakeholders to understand their goals, challenges, and decisions
- Assist with building solutions that standardize their data approach to common problems across the company
- Incorporate observability and testing best practices into projects
- Assist in the development of processes to ensure their data is trusted and well-documented
- Effectively work with data analysts on refining the data model used for reporting and analytical purposes
- Improve the availability and consistency of data points crucial for analysis
- Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and Integration with reporting endpoints
- Revamping orchestration and execution to reduce critical data delivery times
- Database archiving to move data from a live database to cold storage
You will shine if you have these skills:
- Strong hands-on experience with Python and core Python Data Processing tools such as pandas, numpy, scipy, scikit
- Experience with cloud tools and environments like Docker, Kubernetes, GCP, and/or Azure
- Experience with Spark/PySpark
- Experience with Data Lineage and Data Cataloging
- Relational and non-relational database experience
- Experience with Data Warehouses and Lakes, such as Bigquery, Databricks, or Snowflake
- Experience in designing and building data pipelines that scale
- Strong communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholders
- Experience working effectively in a fast-paced, agile environment as part of a collaborative team
- Ability to work independently and as part of a team
- Willingness and enthusiasm to learn new technologies and tackle challenging problems
- Experience in Infrastructure as Code tools like Terraform
- Advanced SQL expertise, including experience with complex queries, query optimization, and working with various database systems
It doesn’t hurt if you also have:
- Experience building across clouds
- Experience with BI systems like Thoughtspot, Looker, Metabase, or PowerBI
- Knowledge of different data modeling paradigms, e.g., relational, data vault, and medallion
Here are some of the perks we offer you:
- Salary in USD
- Long-term
- Flexible schedule (within US Time zones)
- 100% Remote
Ready to learn more? Apply below!
