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- Tasks: As a Data Engineer, you'll develop and manage data applications and real-time streaming solutions.
- Company: Join RemoteStar, a leader in digital transformation for the financial services sector.
- Benefits: Enjoy remote work flexibility and a chance to work with cutting-edge technologies.
- Why this job: Be part of a rapidly growing company that values innovation and impact in the tech space.
- Qualifications: Must have 7+ years in application development and experience with cloud platforms and data tools.
- Other info: This role is fully remote, allowing you to work from anywhere in the USA.
The predicted salary is between 54000 - 90000 £ per year.
Overview
Job role: Data Engineer
Years of Experience: 7+
Location: Anywhere in USA
Work Type: Remote
At RemoteStar, we are hiring for one of our clients, a rapidly growing company focused on digital transformation in the financial services space.
Qualifications
- 7+ years of experience in application development (Python, SQL, Scala, or Java)
- 4+ years working with public cloud platforms (AWS, Azure, or Google Cloud)
- 4+ years with distributed data/computing tools like Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL
- 4+ years working on real-time data and streaming applications
- 4+ years implementing NoSQL databases (MongoDB, Cassandra)
- 4+ years in data warehousing (Redshift or Snowflake)
- 4+ years of experience with UNIX/Linux and shell scripting
- 2+ years of experience with Agile engineering practices
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Data Engineer (Remote) USA employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote) USA
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with the specific tools and technologies mentioned in the job description. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Showcase your hands-on experience with cloud platforms like AWS, Azure, or Google Cloud by discussing relevant projects during interviews. Be prepared to explain how you’ve leveraged these platforms to solve real-world problems in data engineering.
✨Tip Number 3
Familiarise yourself with the latest trends in data engineering, particularly around real-time data processing and streaming applications. Being able to discuss current technologies and methodologies will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on Python, SQL, and other relevant languages. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with problem-solving under pressure.
We think you need these skills to ace Data Engineer (Remote) USA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in application development, particularly with Python, SQL, Scala, or Java. Emphasise your work with public cloud platforms and distributed data tools to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for digital transformation in financial services. Mention specific projects where you utilised real-time data applications and NoSQL databases, demonstrating your relevant experience.
Highlight Relevant Skills: In your application, clearly list your skills related to data warehousing, cloud platforms, and UNIX/Linux. Use bullet points for clarity and ensure you mention your familiarity with Agile engineering practices.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at RemoteStar
✨Showcase Your Technical Skills
Make sure to highlight your experience with the required programming languages and tools. Be prepared to discuss specific projects where you used Python, SQL, or Scala, and how you leveraged cloud platforms like AWS or Azure.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Prepare to explain how you've tackled challenges in real-time data processing or distributed computing, and be ready to walk through your thought process.
✨Familiarise Yourself with Agile Practices
Since Agile engineering practices are essential for this role, be ready to discuss your experience working in Agile teams. Share examples of how you've contributed to sprints or collaborated with cross-functional teams.
✨Prepare Questions for the Interviewers
Interviews are a two-way street. Prepare insightful questions about the company's approach to digital transformation in financial services, their tech stack, or how they support remote employees. This shows your genuine interest in the role.
