Senior Data Engineer

Dreamix Ltd.; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible working hours

Unlimited home office

Professional development and training

Health insurance bonus

Team and company events

Summer/Winter office initiatives

Job summary

Dreamix Ltd in the United States is seeking a Databricks-certified Senior Data Engineer to join our team. You will design scalable data pipelines, define canonical data models, and architect medallion-style solutions across cloud platforms.

Collaborate with data scientists and analysts, build data integrations via APIs, ensure governance and security, and mentor engineers. We offer flexible hours, unlimited home office, and opportunities for professional development.

Qualifications

• 5+ years of data engineering experience.
• Databricks certification is mandatory and hands-on Databricks experience is required.
• Advanced Python and SQL, with experience building scalable ETL/ELT pipelines.
• Experience designing data models and modern Lakehouse/medallion architectures.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and data services.

Responsibilities

• Design and own scalable, production-grade data pipelines across medallion architecture.
• Define canonical data models aligned to business domains.
• Architect pipelines for scalability, reliability, and cost efficiency with focus on performance.
• Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog).
• Establish data quality, validation, and testing frameworks across pipeline layers.
• Ensure reliability through retries, idempotency, and failure handling.
• Partner with data scientists, analysts, and stakeholders to translate requirements into data products.
• Develop and maintain data integrations and APIs for data access.
• Implement data governance, security, and regulatory compliance.
• Mentor and support engineers and contribute to engineering culture.
• Troubleshoot and continuously improve data infrastructure.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

Data warehousing

Mentoring/leadership

Collaboration

Education

Bachelor's degree in Computer Science / Information Technology

Tools

Databricks

Spark

Delta Lake

Delta Live Tables

Autoloader

Unity Catalog

Kafka

Job description

Dreаmix was founded 20 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.

We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.

At Dreamix, we are actively seeking a talented Databricks-certified Senior Data Engineer to join our team. We are on the lookout for an individual with a robust skill set in data engineering. If you are passionate about creating seamless data solutions, thrive in a collaborative environment, and are eager to contribute to the success of our data-driven initiatives, we invite you to apply.

Responsibilities:

• Design and own scalable, production-grade data pipelines across the medallion architecture (ingestion, transformation, serving).
• Define and enforce canonical data models aligned to business domains.
• Architect pipelines for scalability, reliability, and cost efficiency, with strong focus on performance tuning (latency, partitioning, compute, SLAs).
• Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog).
• Establish robust data quality, validation, and testing frameworks across all pipeline layers.
• Ensure reliability through proper handling of retries, idempotency, and failure scenarios.
• Partner with data scientists, analysts, and business stakeholders to translate requirements into high-quality data products.
• Develop and maintain data integrations and APIs to enable seamless data access and interoperability.
• Implement data governance, security, and compliance best practices across the platform.
• Mentor and support engineers by setting best practices, providing technical guidance, and contributing to a strong engineering culture.
• Troubleshoot, optimize, and continuously improve data infrastructure and workflows based on evolving needs and technologies.

Requirements:

• A minimum of 5 years of relevant experience in data engineering.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Databricks certification is a must as well as extensive hands‑on experience with Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog) and modern big data ecosystems (e.g., Kafka).
• Advanced proficiency in Python and SQL, with extensive experience building scalable ETL/ELT pipelines.
• Experience designing and implementing data models (dimensional, entity-based, SCD) and efficient database schemas.
• Deep understanding of data warehousing and modern Lakehouse/medallion architecture patterns.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services.
• Experience building data products for consumption via APIs or analytics tools.
• Strong understanding of data governance, access control, and regulated data environments.
• Proven ability to define engineering standards, mentor engineers, and collaborate effectively in fast-paced environments.

What you will get:

• A warm and supportive work environment where you can reach your full potential.
• Flexible working hours that allow you to balance your work and personal life.
• Unlimited home office to help you stay productive and focused.
• Opportunities for professional development, including certificates and training.
• Additional benefits for academic teaching and speaking engagements.
• Knowledge-sharing sessions where you can learn from our Dreamix team.
• Team and company-wide events that bring us together.
• Amazing week long summer office and winter office initiatives.
• Additional health insurance to ensure your well-being.

Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!

By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.