About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is a technology-driven digital agency network that combines creative and engineering expertise to solve complex business challenges. With a global presence, they specialize in leveraging emerging technologies, data-driven strategies, and AI to enhance digital experiences. Their diverse portfolio includes partnerships with major global brands across industries such as finance, healthcare, media, and e-commerce.

Job Summary

We are seeking a skilled Data Engineer to join our team and play a key role in designing, implementing, and optimizing data pipelines. This position focuses on analyzing and categorizing inbound data, ensuring seamless connectivity, and efficiently moving data into Snowflake or a similar data lake. The Data Engineer will work with diverse data sources, implement robust ETL/ELT processes, and establish governance measures to ensure data quality, security, and accessibility.

Success in this role requires strong technical expertise in SQL, cloud data warehouses, and data integration tools (e.g., Airbyte, Fivetran). The ideal candidate thrives in a collaborative environment, working closely with data scientists, developers, and project managers to build scalable, high-performance data infrastructure.

Responsibilities

Data Analysis and Categorization

• Analyze inbound data sources to assess structure, quality, and format.

• Categorize data based on relevance, sensitivity, and business needs.

• Define data schemas and metadata in collaboration with stakeholders.

Data Pipeline Development

• Establish connectivity to various data sources, including APIs, databases, and file systems.

• Build and configure ETL/ELT pipelines using tools like Airbyte or Fivetran to move data into Snowflake.

• Ensure data is properly transformed, cleaned, and stored for downstream analytics and reporting.

Data Governance and Security

• Implement data governance policies, including ownership, access controls, and compliance measures.

• Ensure adherence to data protection regulations (e.g., GDPR, CCPA).

• Apply encryption, authentication, and authorization mechanisms to secure sensitive data.

Collaboration and Communication

• Work closely with cross-functional teams, including data scientists, developers, and project managers.

• Create and maintain documentation such as data dictionaries and pipeline designs.

• Communicate progress, challenges, and solutions to key stakeholders.

Performance Optimization and Maintenance

• Monitor pipeline performance and optimize workflows for efficiency.

• Troubleshoot and resolve data-related issues in a timely manner.

• Plan for scalability to accommodate increasing data volumes and new sources.

Qualifications and Job Requirements

Experience

• 3+ years of experience as a Data Engineer or in a similar role.

• Proven expertise in ETL/ELT development and data pipeline engineering.

• Hands-on experience with data integration tools like Airbyte, Fivetran, or similar.

Technical Skills

• Strong SQL proficiency and experience with relational databases.

• Hands-on experience with cloud data warehouses (preferably Snowflake).

• Familiarity with workflow orchestration tools (e.g., Apache Airflow).

• Proficiency in Python or another relevant programming language.

• Solid understanding of data modeling, data warehousing, and data architecture best practices.

This role offers the opportunity to work with cutting-edge technologies and contribute to a scalable, high-performance data ecosystem supporting critical business insights and decision-making.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!