Senior Data Engineer - Cloud & Analytics

Uplers; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Data Lead to enhance their data infrastructure and ensure accurate data flows. This role involves collaborating with clients, overseeing data ingestion, and building alerting systems for data integrity. If you are passionate about data engineering and eager to work in a dynamic environment, this opportunity is for you. Join a team that values growth and exceptional results, while working remotely in a flexible and supportive setting. Embrace the chance to make a significant impact in the financial services sector and help shape data-driven decisions.

Qualifications

• 6+ years in data or analytics engineering with strong data architecture experience.
• Deep expertise in Pyspark, SQL, Python, and modern data tools.

Responsibilities

• Own and enhance data infrastructure focusing on performance and scalability.
• Collaborate with clients on data integration and validation.

Skills

Airflow

Client-facing

Data Analytics

Data Engineering

ETL

Pyspark

Python

SQL

Tools

GCP

AWS

Job description

Data Lead | Data Engineering | REMOTE

Experience: 6 - 9 Years Exp
Salary: Upto USD 1,00,000 / year
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Remote
Placement Type: Contractual
Contract Duration: Full-Time, Indefinite Period

(Note: This is a requirement for one of Uplers' Clients)

Must-have Skills:

• Airflow
• Client-facing
• Data Analytics
• Data Engineering
• ETL
• Pyspark
• Python
• SQL

Good-to-have Skills:

• Fintech
• Gaming
• AWS
• GCP

About the Role

We are seeking a Data Lead passionate about their work, eager to learn and grow, and committed to delivering exceptional results. If you are a team player with a positive attitude and a desire to make a difference, we want to hear from you.

Role Overview

Own our data infrastructure, improve and scale high-volume pipelines, and ensure accurate, actionable data flows from clients into our internal systems. Work directly with clients to source, validate, and reconcile critical data to support data-driven decisions.

Responsibilities

• Own and enhance data infrastructure focusing on performance, scalability, and data integrity
• Collaborate with clients on data integration, validation, and monitoring
• Oversee data ingestion, structure, and usability
• Build alerting systems for data integrity and performance
• Support insight delivery and self-serve tooling with product and analytics teams

Skills and Expertise

• 6+ years in data or analytics engineering with strong data architecture and cloud experience
• Deep expertise in Pyspark, SQL, Python, and modern data tools (Airflow, dbt, Spark, Superset)
• Experience scaling ETL pipelines on GCP or AWS
• Strong communication skills and stakeholder engagement experience
• Experience in gaming, consumer apps, or fintech is a plus

Engagement Details

Type: Permanent/Full-time
Location: 100% Remote
Working hours: 10:00 AM to 7:00 PM

Interview Process

4-5 rounds of interviews

Application Process

1. Register or log in on our portal
2. Upload your updated resume and complete the screening form
3. Increase your chances to be shortlisted and meet the client for an interview

About Our Client

A financial services platform providing non-dilutive capital to support user acquisition strategies, co-investing in sales and marketing budgets, sharing in the value created through newly acquired users, up to a predefined cap.

About Uplers

We aim to make hiring simple, reliable, and fast, helping talents find relevant opportunities and grow their careers.

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