Senior Data Engineer

Uplers; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading data-driven company is seeking a Senior Data Engineer to design and scale infrastructure for analytics and performance marketing. This remote role involves building scalable data pipelines and requires extensive experience in data engineering, particularly with tools like Python, SQL, and Airflow.

Benefits

Monthly long weekends — every third Friday off

Wellness reimbursement

Paid parental leave

Remote-first with flexibility

Qualifications

• 4+ years of data engineering experience in a global team.
• Strong Python development skills.
• Expert in SQL for data transformation.

Responsibilities

• Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow.
• Orchestrate workflows across GCP and AWS systems.
• Monitor and improve data quality across workflows.

Skills

Python

SQL

Airflow

GCP

DBT

Job description

Experience: 4.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Forbes Advisor)

What do you need for this opportunity?

Must have skills required:

Airflow, dbt, Google Cloud

Forbes Advisor is Looking for:

Job Description:

Senior Data Engineer

Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics.

The Role

We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business.

What You’ll Do

• Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python
• Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems
• Model data using dbt, with an emphasis on quality, reuse, and documentation
• Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics
• Write high-performance SQL and support analytics and reporting teams in self-serve data access
• Monitor and improve data quality, lineage, and governance across critical workflows
• Collaborate with engineers, analysts, and business partners across the US, UK, and India

What You Bring

• 4+ years of data engineering experience, ideally in a global, distributed team
• Strong Python development skills and experience
• Expert in SQL for data transformation, analysis, and debugging
• Deep knowledge of Airflow and orchestration best practices
• Proficient in DBT (data modeling, testing, release workflows)
• Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus
• Strong grasp of data governance, observability, and privacy standards
• Excellent written and verbal communication skills

Nice to have

• Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4)
• Familiarity with BI tools like Tableau or Looker
• Exposure to attribution models, media mix modeling, or A/B testing infrastructure
• Collaboration experience with data scientists or machine learning workflows

Why Join Us

• Monthly long weekends — every third Friday off
• Wellness reimbursement to support your health and balance
• Paid parental leave
• Remote-first with flexibility and trust
• Work with a world-class data and marketing team inside a globally recognized brand

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!