Senior Data Engineer

New York

Live, first seen by us 79 days ago

Pay: USD 125,000–140,000/year · Base — pay source
Strong communication, stakeholder management, and project delivery skills, with the ability to explain technical concepts to non-technical audiences. At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is between $125,000 and $140,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary structure. The Eki.Academy training catalog, which contains programs that will enhance your skills on our solutions and jobs, learning paths on our digital platform, as well as programs dedicated to our priority challenges, including awareness of environmental issues with the Climate School
Salary 125,000 – 140,000 USD per year Why join us?
Read the full posting
Work setting: Not stated
Employment: Permanent — employment source
Employment type Permanent position
Employment type in the employer’s posting: Permanent position
From the employer’s posting

Before you apply

Work authorization: Must already have the right to workPlease note that we do not offer visa sponsorship or transfer for this position

What you’ll work on

Full posting

Design and deploy scalable data pipelines and ETL workflows in Databricks
Transform and harmonize data from APIs, CSV, JSON, databases and cloud platforms
Define data architectures with QA, validation and monitoring processes
Own project deliverables, timelines and risks from planning through execution
Translate client requirements into scalable data engineering designs

From the employer’s posting

Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.

Transform and harmonize data from diverse sources and formats (i.e. APIs, CSV files, JSON, databases, cloud platforms, file transfers, etc.)

Define and implement robust data architectures, QA, validation, and monitoring processes

Take ownership of project deliverables from planning through execution, managing priorities, timelines, and risks

Translate client requirements into scalable data engineering designs

Education & alternatives

Your Profile - Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling. - Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management)

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Posting record

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Status in our records: Live
First seen by us: Aug 17, 202679 days ago
Recorded sightings: 41
Last seen by us: Nov 4, 2026
Employer says posted: Aug 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$125K–$140K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 79

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Ekimetrics is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Its jobs tend to stay up a long time
8% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Bash
Python
SQL
AWS
Azure
Databricks
Delta Lake
GCP
Power BI
Spark
Tableau

Where the posting names them

- Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management) - Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting. - Experience with templating languages is a plus.

- Skilled in building and deploying production-grade data pipelines and architectures complete with CI/CD plus experience with ELT/ETL processes. - Experience with Azure required, familiarity with GCP or AWS a plus. - Experience with PowerBI or Tableau for dashboarding and data visualizations.

Data Engineering - Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks. - Transform and harmonize data from diverse sources and formats (i.e. APIs, CSV files, JSON, databases, cloud platforms, file transfers, etc.)

- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling. - Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management) - Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.

- Experience with Azure required, familiarity with GCP or AWS a plus. - Experience with PowerBI or Tableau for dashboarding and data visualizations. - Exposure to ML or advanced analytics techniques is a plus.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability.

With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services.

We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA.

Your Responsibilities

As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ETL solutions that support Marketing Mix Modeling and Optimization and broader Marketing Effectiveness initiatives. You’ll work closely with data engineers, data scientists, and tech leads across 1-2 concurrent projects, build robust, scalable data architectures that enable marketing analytics and support data driven decision making. In addition to technical ownership, you will play a key role in project and stakeholder management, partnering with cross-functional teams and client stakeholders to ensure successful project delivery and business impact. You will also benefit from our technology partnerships, training programs, and mentorship from Ekimetrics partners, further developing your expertise in data engineering, project management, and stakeholder engagement. Your responsibilities will include:

Data Engineering

Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.
Transform and harmonize data from diverse sources and formats (i.e. APIs, CSV files, JSON, databases, cloud platforms, file transfers, etc.)
Build and industrialize cloud-based data solutions and frameworks that support efficient data ingestion, integration, processing, and delivery, enabling reliable and analytics-ready datasets for accounts.
Define and implement robust data architectures, QA, validation, and monitoring processes to ensure accuracy, consistency, reliability, and scalability.

Stakeholder Management

Partner with internal and external stakeholders to understand client data ecosystems, business objectives, account needs, and long-term goals, ensuring alignment between solutions and business priorities.
Translate client requirements into scalable data engineering designs, collaborating cross-functional teams to develop effective ETL frameworks.
Serve as a trusted point of contact through project delivery, communicating technical recommendations and project progress while promoting best practices in data management.

Project Management & Delivery Excellence

Take ownership of project deliverables from planning through execution, managing priorities, timelines, and risks to ensure high-quality outcomes delivered on time aligned with client objectives.
Proactively identify and mitigate potential project, technical, and data-related risks, communicating issues, recommendations, and status updates clearly.
Collaborate cross-functionally to coordinate activities, align expectations, and drive project execution.

Your Profile

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling.
Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management)
Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.
Experience with templating languages is a plus.
Skilled in building and deploying production-grade data pipelines and architectures complete with CI/CD plus experience with ELT/ETL processes.
Experience with Azure required, familiarity with GCP or AWS a plus.
Experience with PowerBI or Tableau for dashboarding and data visualizations.
Exposure to ML or advanced analytics techniques is a plus.
Strong communication, stakeholder management, and project delivery skills, with the ability to explain technical concepts to non-technical audiences.

At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is between $125,000 and $140,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary structure.

The Eki.Academy training catalog, which contains programs that will enhance your skills on our solutions and jobs, learning paths on our digital platform, as well as programs dedicated to our priority challenges, including awareness of environmental issues with the Climate School
Dynamic environment with a strong culture and great offices
Close-knit team with bi-monthly team events and more
Client exposure up to the executive level
Modern office just off Wall Street with best-in-class amenities
An emphasis on work-life-balance and 20 days of PTO with 11 annual holidays in a flexible hybrid work environment
Opportunities for international mobility across our four other offices in Paris, London, Hong Kong, and Shanghai

Salary

125,000 – 140,000 USD per year

Why join us?

At Ekimetrics, we believe your ideas truly matter. Here, your ideas are yours to build and bring to life. We embrace an entrepreneurial spirit, encouraging you to push boundaries to achieve meaningful impact. But it’s not just about individual success—we thrive on collaboration and enriching one another.

Together, we’re constantly learning and growing, whether through personalized career paths and training, challenging projects, mentorship, or simply through the diverse perspectives we bring to the table.

And perhaps more importantly, we believe in enjoying what we do. Ekimetrics is a stimulating and safe environment where you can thrive as your authentic self.

In 2023, Ekimetrics obtained the “mission-driven company” status, reflecting our strong commitment to CSR.

Our purpose: Accelerate organizations’ transformation towards sustainability, through the application of data science and artificial intelligence.

We were also certified Great Place to Work© in France, the United Kingdom, and the United States in 2023, and our Hong Kong office received the Best Companies to Work for in Asia 2023© award.

Ekimetrics is part of the French Tech 120 ranking. We have been selected by La French Tech to join the prestigious group of the top 120 French scale-ups, recognized for their potential to become international leaders.

As an employer, Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ekimetrics strives to develop an inclusive work environment that reflects diversity within its teams.

Please note that we do not offer visa sponsorship or transfer for this position.

Employment type

Permanent position

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