Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Data Engineer image - Rise Careers
Job details

Data Engineer

Thank you for considering the Data Engineer position at Reveal Health Tech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.

ABOUT THE ROLE

We are seeking a skilled Data Engineer proficient in AWS services to join our dynamic team. As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines to support our growing data processing needs. The ideal candidate is independent, detail-oriented, and capable of performing data validation and debugging to ensure high data quality and reliability.

Find out more about our mission and why we started Reveal Health Tech on our website.

Responsibilities

  • Designing and implementing scalable, robust, and maintainable data pipelines using AWS services such as Glue, EMR, S3, Redshift, DynamoDB, Amazon Athena, and OpenSearch.
  • Implementing data quality checks and validation processes to ensure accuracy, completeness, and integrity of data.
  • Designing effective data models and architectures to optimize data processing and facilitate downstream Data Science and Machine Learning workflows.
  • Utilizing data quality validation tools to automate and streamline validation processes.
  • Collaborating with cross-functional teams (e.g., Data Science, Software Engineering) to understand data requirements and implement efficient data processing solutions.
  • Monitoring and optimizing the performance of data pipelines.
  • Debugging issues and resolving data-related problems in a timely manner.
  • Documenting data pipeline architectures, processes, and procedures.
  • Stay up-to-date with new technologies, tools, and best practices in the data engineering field.

Key Skills and Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
  • Proficiency in data modeling and architecture, leveraging AWS services to architect scalable and efficient data solutions.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in AWS services relevant to data engineering (e.g., AWS Glue, Lambda, S3, Redshift, DynamoDB, Amazon Athena, OpenSearch).
  • Experience designing and building data pipelines from diverse source systems.
  • Solid understanding of data lake and warehousing concepts and best practices.
  • Proficiency in programming languages used for data manipulation and transformation (e.g., Python, SQL).
  • Solid experience in working with Pyspark.
  • Experience with relational databases like PostgreSQL (PSQL).
  • Understanding of database systems, including schema design, SQL querying, and performance optimization.
  • Experience implementing data quality checks and validation processes.
  • Experience using Cloudformation and CI/CD for deployment.
  • Familiarity with data quality validation tools and frameworks (Monte Carlo).
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Excellent problem-solving skills and attention to detail.

Preferred Skills:

  • AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty).
  • Familiarity with serverless computing (e.g., AWS Lambda) and containerization (e.g., Docker).
  • Experience with LLMs and machine learning is highly preferred

How you will enrich us?

  • Energetic and enthusiastic
  • Autonomous and self-motivated
  • Growth mindset
  • Embraces challenges
  • Building new things gets your blood pumping!
  • Curiosity and deep interest in the world
  • Challenges the status quo constructively

What do you get in return?

  • Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk-adjusted environment with high upside for initial members.
  • Trust over control - We believe in strong business fundamentals and possess vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.
  • Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!
  • Industry best compensation and benefits

Next Steps

  • Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
  • If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can align mutually.
  • You would have two tasks - a computer-based reasoning test and a technical case study followed by a job-based interview in the next rounds.
  • Finally, you would have a chat with our founder to understand more about us and see if this is the right next career move!

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Reveal Health Tech

Thank you for considering the Data Engineer position at Reveal Health Tech! As an innovative IT startup with a mission to transform healthcare through technology, we are excited to welcome a talented Data Engineer to our dynamic team. In this role, you will be mastering AWS services to design, implement, and maintain scalable data pipelines that meet our growing data processing needs. You'll have the opportunity to shape data architectures and influence data models catering to various needs while ensuring data quality and integrity. We’re looking for someone who is detail-oriented, independent, and has a thirst for knowledge to stay updated with the latest data technologies. Collaboration is key here, as you will work closely with cross-functional teams to understand data requirements and find efficient solutions. Your expertise will also help us monitor data pipelines, solve data-related issues efficiently, and document processes to drive our mission forward. The ideal candidate will possess a Bachelor’s degree in Computer Science or a related field, along with proven experience in data engineering, particularly using AWS. We value individuals who are energetic, self-motivated, and ready to embrace challenges. At Reveal Health Tech, you will be joining a vibrant environment where we offer exceptional opportunities for growth and learning, along with industry-leading compensation and benefits. If this sounds like the perfect next move for you, we encourage you to apply and be part of our amazing team paving the way for the future of healthcare technology.

Frequently Asked Questions (FAQs) for Data Engineer Role at Reveal Health Tech
What are the primary responsibilities of a Data Engineer at Reveal Health Tech?

As a Data Engineer at Reveal Health Tech, your primary responsibilities will include designing and implementing scalable data pipelines using AWS services, performing data validation, and collaborating with teams to optimize data processing solutions. You'll be at the forefront of ensuring data accuracy and integrity while working with diverse data architectures.

Join Rise to see the full answer
What qualifications are required to apply for the Data Engineer role at Reveal Health Tech?

Candidates applying for the Data Engineer position at Reveal Health Tech should have a Bachelor's degree in Computer Science or a related field, proven experience in data engineering, and strong proficiency in AWS services such as Glue, Redshift, and DynamoDB. Familiarity with data modeling and data quality checks is also essential.

Join Rise to see the full answer
What skills are essential for success in the Data Engineer position at Reveal Health Tech?

Essential skills for the Data Engineer role at Reveal Health Tech include proficiency in data modeling, AWS data services, programming languages like Python and SQL, and solid experience in working with Pyspark. Additionally, understanding of data lake and warehousing concepts is crucial for designing effective data solutions.

Join Rise to see the full answer
What technologies will a Data Engineer work with at Reveal Health Tech?

At Reveal Health Tech, a Data Engineer will work with various AWS services such as Glue, S3, Redshift, and OpenSearch. You'll also utilize data quality validation tools and frameworks like Monte Carlo while engaging with relational databases like PostgreSQL to create robust data solutions.

Join Rise to see the full answer
What opportunities for professional growth does Reveal Health Tech offer to Data Engineers?

Reveal Health Tech is committed to professional growth and offers numerous on-the-job learning opportunities for Data Engineers. You'll find curated courses, mentorship sessions, and the chance to be part of an innovative team focused on cutting-edge technology that can genuinely propel your career forward.

Join Rise to see the full answer
Common Interview Questions for Data Engineer
Can you explain the process of designing a data pipeline?

When asked this question, describe the key steps involved in designing a data pipeline, including requirement gathering, selecting the appropriate AWS services, creating data models, and implementing data validation checks to ensure data quality throughout the pipeline.

Join Rise to see the full answer
How do you ensure data quality and validation in your pipelines?

Emphasize your strategies for implementing data quality checks, such as utilizing automated validation tools to detect discrepancies, and your process for diagnosing data issues to maintain accuracy and reliability in the data engineering workflow.

Join Rise to see the full answer
What AWS services have you used for data engineering tasks?

Be prepared to discuss your hands-on experience with AWS services, such as Glue for ETL processes, Redshift for data warehousing, and S3 for data storage. Highlight specific projects where you effectively leveraged these tools.

Join Rise to see the full answer
Describe a challenge you faced while building a data pipeline and how you overcame it.

When answering this, share a specific instance, detailing the challenge, your approach to resolve it, and the positive outcome achieved. This will showcase your problem-solving skills and resilience.

Join Rise to see the full answer
How do you optimize data pipelines for performance?

Explain your strategies for monitoring pipeline performance and identifying bottlenecks. Discuss optimizing AWS configurations, using effective data models, and implementing caching techniques to enhance the speed and efficiency of data processing.

Join Rise to see the full answer
Can you discuss your experience with CI/CD and CloudFormation?

Share specific instances of using CI/CD for deployment in your projects. Illustrate how you employed CloudFormation to automate infrastructure provisioning, ensuring consistency across environments.

Join Rise to see the full answer
How do you stay current with new technologies in the data engineering field?

Describe your methods for remaining informed, such as engaging in online courses, participating in webinars, and following industry-leading publications or attending conferences focused on data engineering innovations.

Join Rise to see the full answer
What programming languages do you primarily use for data manipulation?

Highlight your proficiency in languages such as Python, SQL, and Pyspark. Provide examples of how you have applied these languages to effectively manipulate and transform data in past roles.

Join Rise to see the full answer
How do you work with cross-functional teams to gather data requirements?

Discuss your approach to collaborating with teams like Data Science and Software Engineering, emphasizing communication skills, understanding stakeholder needs, and translating those requirements into actionable data solutions.

Join Rise to see the full answer
What efforts do you put into documenting data processes and architectures?

Emphasize the importance of documentation in your work. Explain how you maintain detailed records of data architectures, processes, and validation checks, which supports future team members and facilitates knowledge sharing.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 5 days ago
Posted 12 days ago
Photo of the Rise User
BlueOptima Remote Vakil Square, 1st Floor, Bannerghatta Main Road, Jayanagar, Bangalore, Karnataka, India
Posted 5 days ago
Dental Insurance
Photo of the Rise User
Posted 3 days ago
Photo of the Rise User
Posted 12 days ago
Photo of the Rise User
NielsenIQ Remote No. 50 Seoseomun-ro, Jung-gu, Seoul, Korea, republic of
Posted 3 days ago

We are on a mission to help reveal the transformative potential of technology in delivering healthcare. We understand that technology is an enabler, when applied in the right ways. Leverage technology in the smartest way possible to meet your pati...

14 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 12, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
LATEST ACTIVITY
A
Someone from OH, Lewis Center just viewed 34505367634 - Fraud Analyst at Activate Talent
Photo of the Rise User
Someone from OH, Dublin just viewed Senior Third-Party Risk Analyst at Fenergo
Photo of the Rise User
Someone from OH, Columbus just viewed US Product Designer at Praxent
Photo of the Rise User
Someone from OH, Cleveland just viewed Accounting Co-Op (Part-Time) at Avery Dennison
Photo of the Rise User
Someone from OH, North Ridgeville just viewed Product Manager at ShiftCare
Photo of the Rise User
Someone from OH, North Ridgeville just viewed Product Operations at Binance
Photo of the Rise User
Someone from OH, Mentor just viewed Sales & Service Lead - Pinecrest at Alo Yoga