Infrastructure Engineer Jobs
423 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
OpenSea | Remote | $160k - $305k | |||
OKX | Singapore, Singapore | $115k - $120k | |||
Foundation | Remote | $165k - $200k | |||
Edge & Node | remote | $72k - $106k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Fireblocks | Tel Aviv, Israel | $72k - $110k | |||
Kraken Digital Asset Exchange | Remote | $81k - $100k | |||
Gemini | New York, NY, United States | $66k - $84k | |||
Paradigm | Singapore, Singapore | $115k - $189k | |||
CoinDesk | New York, NY, United States | $145k - $190k | |||
Gemini | Gurgaon, India | $72k - $100k | |||
Crypto.com | Bangalore, India | $63k - $65k | |||
ZORA | Remote | $81k - $100k | |||
Ada Meher | Chicago, IL, United States | $98k - $100k | |||
stakefish | Remote | $100k - $180k | |||
Etherscan | Shah Alam, Malaysia | $105k - $117k |
This job is closed
Senior Data Engineer, Infrastructure
Responsibilities
- Design, build, and maintain data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Analytics and Data Science teams
- Collaborate closely with Data Scientists to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases
- Develop and maintain scalable, efficient, and reliable ETL processes, using best practices for data ingestion, storage, and processing
- Work with stakeholders to identify and prioritize analytics requirements, and build out necessary analytics tools and dashboards
- Proactively monitor data pipelines, troubleshoot, and resolve data-related issues
- Contribute to the continuous improvement of data engineering practices, including documentation, code reviews, and knowledge sharing
Desired Experience
- 5+ years of experience in data engineeringExperience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink
- Strong knowledge of AWS services, particularly those related to data storage, processing, and analytics (e.g., S3, Redshift, Glue, EMR, Kinesis, Lambda, and Athena)
- Expert in SQL and proficiency in at least one programming language (Python, Go, Java)
- Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema)
- Strong problem-solving skills, a data-driven mindset, and a passion for working with large, complex datasets
- Excellent communication and collaboration skills, with the ability to work effectively across teams and stakeholders
Is infrastructure engineering a good career?
Yes, infrastructure engineering can be a good career choice for individuals who are interested in designing and managing the physical infrastructure required for various projects, including transportation systems, buildings, energy systems, and more
Infrastructure engineers play a critical role in ensuring that our communities have safe and reliable systems and facilities that meet the needs of their users
They are responsible for designing, building, and maintaining infrastructure projects, as well as managing the budget, timelines, and resources required for these projects
In addition, infrastructure engineering is a growing field, as there is a continued need for new infrastructure to support the growing population and changing technological landscape
This means that there are plenty of job opportunities in this field, and those with the right skills and qualifications can often command high salaries and advance their careers quickly
If you are interested in infrastructure and enjoy problem-solving, project management, and working with a team, infrastructure engineering can be a fulfilling and rewarding career choice.