Senior Data Engineer

DataArt; New York (NY); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Vacation policy

Health insurance

Corporate events

Tech support

Job summary

DataArt is seeking a Senior Data Engineer to manage Databricks environments, orchestrate data pipelines, and ensure robust data governance across Azure cloud services. You will collaborate with business users to deliver reliable data assets and scalable analytics capabilities.

The role requires strong Python coding skills, experience with Snowflake/SQL Server, and proficiency in modern BI tools such as Tableau and Sigma.

Qualifications

• 3+ years of Databricks management experience.
• 3+ years of experience with integrated services on Azure.
• 3+ years of Python programming experience.
• 1+ year of experience with agentic coding assistants.
• Strong experience with data governance, security, and CDC.

Responsibilities

• Manage Databricks instances, onboarding datasets, permissions, security and governance.
• Set up automated pipelines to import data sources into the data warehouse.
• Create automated data refreshes, validation, and monitoring processes.

Skills

Databricks management

Azure services

Python programming

Data pipeline design

Data quality monitoring

Communication skills

Independent problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

SQL Server

Tableau

Sigma

GitHub Actions

CI/CD pipelines

Job description

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Position overview

We are seeking a skilled Data Engineer with experience in Databricks, Snowflake, SQL Server, and cloud technologies. In this role, you will support and manage the organization’s data environment, ensuring reliable data availability and quality. You will serve as a central point of contact for data projects and requests across the organization. The ideal candidate is an independent problem solver with strong communication skills and the ability to work effectively in a rapidly changing environment.

The estimated salary range for this position is USD 150,000 to 180,000 per year.

This role involves four in-office days per week.

Responsibilities

• Manage Databricks instances, including onboarding datasets, permissions, security, and governance.
• Set up centralized, automated pipelines to import various data sources into the data warehouse.
• Set up automated processes for data refreshes, data validation, and monitoring in the data warehouse.
• Manage day-to-day reporting and data requests.
• Collaborate on data policy and governance.
• Ensure data quality and easy data availability for end users.
• Be the central point of contact for organization-wide data requests and projects.

Requirements

• 3+ years of strong experience in Databricks management.
• 3+ years of experience working with integrated services on Azure.
• 3+ years of experience with object-oriented programming in Python.
• 1+ year of experience with agentic coding assistants.
• Strong experience in pipeline creation, security, governance, and Change Data Capture (CDC).
• Demonstrated ability to independently diagnose and resolve pipeline and data quality issues.
• Experience integrating and ingesting data from external APIs.
• Experience deploying production-ready data assets with minimal oversight.
• Experience with Git-based workflows and CI/CD (e.g., GitHub Actions).
• Experience designing data monitoring and validation frameworks.
• Proficiency in database design, optimization, and performance tuning.
• Experience in data normalization and compression techniques to optimize data size and performance.
• Ensure data integrity, security, and performance in the modernized database environment.
• Should be comfortable working in a rapidly changing environment with ambiguous requirements.
• Familiarity with orchestration tools.
• Strong communication and interpersonal skills, with the ability to communicate with business users.
• Must be able to work independently with minimal guidance.
• Experience with financial data, such as trade data, reference data, position data, etc., to build functional calculation modules, reports, and dashboards.
• Familiarity with reporting tools such as Tableau and Sigma is preferred.

We offer

Vacation

As per the laws of your country. We do ask you to take a proper rest

Health insurance

We help you to take out an insurance policy for you and your loved ones

According to the official calendar, regardless of the client’s schedule

Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract

Data Engineer with Analytics

Colombia Mexico Remote.LATAM Uruguay

As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end-to-end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics

We are looking for a Senior/Lead Data Engineer to join a distributed team working on modern cloud-based data solutions within the Azure ecosystem. The role involves designing, developing, and maintaining scalable data pipelines and integrations that support business-critical reporting, analytics, and operational processes.

The primary objective of this exciting project is to enhance the functionality of a cutting-edge Data Platform, empowering business users with the insights they need to make data-driven investment decisions

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

What does DataArt do, and which industries does it serve?

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

What's the work-life balance like at DataArt? Does DataArt offer remote work options?

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

What is the typical career path at DataArt?

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

What can I expect in terms of compensation and benefits at DataArt?

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

How does DataArt approach employee retention and turnover?

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

What is the interview process like, and how can I prepare?

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here .

What skills and experience does DataArt look for in candidates?

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

How does DataArt support learning and professional development?

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.