Data Engineer

IMPORTANT: If you are interested and qualified, please submit a link to your resume AND your voice recording to Upgrade to see actual info will only process applications of those who will send both. Applications sent through OLJ will be automatically discarded. DO NOT apply if you do not have the experience.

About the Role
We are seeking a highly skilled Data Engineer to design, build, and maintain our data infrastructure, with a strong emphasis on data integration, architecture, and pipeline development. The ideal candidate will have expert-level SQL and Python skills and a deep understanding of data modeling, ETL processes, and system integrations.
This role requires a strong technical foundation, problem-solving skills, and the ability to work across teams to enable data-driven decision-making. You will play a crucial role in optimizing data flows and ensuring efficient data storage, access, and processing.
This is a full-time remote position, and the candidate should be comfortable working in either the Pacific Standard Time (PST) or Eastern Standard Time (EST) timezone
Key Responsibilities
Data Integration & Pipeline Development: Design and implement scalable ETL/ELT pipelines to integrate data from multiple sources into a centralized data platform.
Data Architecture: Develop and maintain robust data models, schemas, and warehouse structures to support analytics and business intelligence needs.
SQL & Database Management: Write and optimize complex SQL queries for data transformation, extraction, and performance tuning.
Python Development: Build and maintain automation scripts, data transformation processes, and API integrations using Python.
Scalability & Performance Optimization: Ensure data systems are optimized for performance, reliability, and scalability.
Collaboration: Work closely with data analysts, data scientists, and software engineers to support data needs across the organization.
Monitoring & Debugging: Implement logging, monitoring, and alerting solutions to ensure data integrity and pipeline health.


Qualifications & Experience
5+ years of experience in data engineering, software development, or a related field.
Expert proficiency in SQL, including performance tuning, query optimization, and database management.
Expert-level Python skills, including experience with data processing libraries (e.g., Pandas, PySpark, SQLAlchemy).
Strong experience with data integration across APIs, third-party services, and internal systems.


Deep understanding of data architecture principles, including data modeling, warehouse design, and distributed systems.
Experience working with cloud-based data platforms (e.g., AWS, GCP, Azure, Snowflake, BigQuery, Redshift).
Familiarity with workflow orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
Experience with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
Hands on working with ELT/ETL tools along with API based ingestion using code.


Preferred Skills
Knowledge of streaming data technologies (e.g., Kafka, Kinesis, Pub/Sub).
Familiarity with data governance, security, and compliance best practices.

IMPORTANT: If you are interested and qualified, please submit a link to your resume AND your voice recording to Upgrade to see actual info will only process applications of those who will send both. Applications sent through OLJ will be automatically discarded. DO NOT apply if you do not have the experience.