Data Operations Engineer
Jobs via Dice · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
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Job highlights
- Data Operations Engineer role available.
- Requires 5+ years infra/software engineering.
- Proficient in C#, Python, Snowflake/BigQuery.
- Experience with Linux, Docker, and Kafka/RabbitMQ.
- Remote work with effective communication.
About the role
About the Role: Data Operations Engineer
Dice, a leading career destination for tech experts, is partnering with Unique System Skills LLC to find a skilled Data Operations Engineer. This role is crucial for building and maintaining robust data infrastructure and pipelines.
Responsibilities:
- Design, build, and maintain scalable data pipelines.
- Ensure the reliability and performance of data infrastructure.
- Collaborate with engineering teams to optimize data flows.
- Work with distributed messaging systems and containerization technologies.
- Troubleshoot and resolve issues in production data environments.
Required Qualifications:
- 5+ years of experience in infrastructure and software engineering.
- Exposure to data engineering and data pipelines.
- Proficiency in C# and Python.
- Hands-on experience with Snowflake and/or Google BigQuery.
- Strong experience working in Linux/Unix environments and Docker.
- Experience building and maintaining data pipelines.
- Familiarity with distributed messaging systems such as Confluent Kafka or RabbitMQ.
- Ability to work independently in a remote environment.
- Effective communication skills.
Key skills/competency:
- Data Operations Engineer
- Infrastructure Engineering
- Software Engineering
- Data Engineering
- Data Pipelines
- C#
- Python
- Snowflake
- Google BigQuery
- Linux/Unix
Skills & topics
- Data Operations Engineer
- Data Engineering
- Infrastructure Engineering
- Software Engineering
- Data Pipelines
- C#
- Python
- Snowflake
- BigQuery
- Linux
- Docker
- Kafka
- RabbitMQ
- Remote
How to get hired
- Tailor your resume: Highlight your 5+ years of infrastructure and software engineering experience, specifically mentioning data engineering, C#, Python, Snowflake/BigQuery, Linux/Unix, Docker, and messaging systems.
- Showcase pipeline expertise: Emphasize your experience in building and maintaining data pipelines and your familiarity with distributed messaging systems like Kafka or RabbitMQ.
- Quantify achievements: Whenever possible, use numbers to demonstrate the impact of your work on data operations and infrastructure.
- Demonstrate remote readiness: Clearly state your ability to work independently and communicate effectively in a remote setting.
Technical preparation
Practice C# and Python coding exercises.,Build sample data pipelines with Snowflake/BigQuery.,Set up Linux environments with Docker.,Familiarize yourself with Kafka/RabbitMQ concepts.
Behavioral questions
Describe a complex data pipeline you built.,How do you ensure data pipeline reliability?,Share an instance of independent problem-solving.,How do you communicate technical issues remotely?
Frequently asked questions
- What are the key technical skills for the Data Operations Engineer role at Unique System Skills LLC via Dice?
- The Data Operations Engineer role at Unique System Skills LLC requires strong proficiency in C# and Python, hands-on experience with Snowflake and/or Google BigQuery, and solid experience in Linux/Unix environments and Docker. Familiarity with distributed messaging systems like Confluent Kafka or RabbitMQ is also essential.
- How much experience is required for the Data Operations Engineer position?
- The Data Operations Engineer position requires a minimum of 5 years of experience in infrastructure and software engineering, with a focus on data engineering and pipelines.
- Is the Data Operations Engineer role at Unique System Skills LLC remote?
- Yes, the Data Operations Engineer role at Unique System Skills LLC is a remote position, requiring the ability to work independently while communicating effectively.
- What kind of data infrastructure experience is needed for this Data Operations Engineer job?
- For this Data Operations Engineer job, you'll need experience building and maintaining data pipelines, along with familiarity with distributed messaging systems such as Confluent Kafka or RabbitMQ. Experience with Snowflake and/or Google BigQuery is also a key requirement.
- What programming languages are important for the Data Operations Engineer role?
- Proficiency in C# and Python is a key requirement for the Data Operations Engineer role at Unique System Skills LLC.