Data Engineer - Open Application

truelogic; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

100% Remote Work

Competitive USD Pay

Paid Time Off

Autonomy at Work

Work with US Companies

Job summary

Truelogic, a leading nearshore staff augmentation provider headquartered in New York, seeks an experienced data engineer for a fully remote role serving U.S. clients. You will design data processing solutions using Python, Spark, and modern data stores.

You will work with streaming data, REST APIs, ETL pipelines, and BI-ready data warehouses on cloud platforms, helping transform raw data into actionable insights while collaborating with senior professionals across LATAM and the United States.

Qualifications

• 5+ years of professional experience.
• Strong Python and data processing skills.
• Experience with relational and non-relational data stores such as HBASE, Cassandra, MongoDB; S3/blobs.
• Experience with streaming systems (Kafka/Kinesis/Flume) and messaging queues (SQS/SNS/RabbitMQ).
• ETL tooling experience (Talend/Informatica/SSIS).
• Experience with data warehouses and BI tools (Snowflake/Redshift/Hive; Looker/Power BI/Tableau)
• Cloud data platforms (AWS/GCP/Azure) and PaaS data services.

Responsibilities

• Develop data processing solutions using Python and Spark.
• Consume data from REST APIs and integrate diverse data sources.
• Design and work with scalable data stores (HBASE, Cassandra, MongoDB, S3).
• Build data pipelines and streaming processing (Kafka, Kinesis, Flume).
• Ensure scalable data models and high-performance data systems.
• Implement ETL pipelines using Talend, Informatica, SSIS.

Skills

Python

PySpark

Pandas

REST APIs

Spark

Data processing

SQL

NoSQL stores

Kafka

ETL

Tools

Tableau

Power BI

Looker

Snowflake

Redshift

Hadoop

Airflow

AWS / GCP / Azure

Job description

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.

Responsibilities

• 5+ years working on the role professionally.

• Coding:

  • Coding Python and use in data processing solutions and related data technologies like Pandas, and PySpark.

  • Consume data from different sources like REST APIs.

• Data Stores:

  • Work with relational and non-relational data stores (like: HBASE, Cassandra or MongoDB; S3, blobs).

    • Consumption;

    • Design.

  • Data Streams (Kafka, Kinesis, Flume,) and message queuing (SQS, SNS, RabbitMQ, etc).

  • Ensure that the data model scales and enables high performance.

  • Distributed data stores.

• Processing:

  • Data/Stream processing (Spark, Flink, Hadoop).

  • Data pipelines, data ingestion pipelines, scalable streaming data pipelines processing.

  • ETL using solutions:

    • Talend;

    • Informatica;

    • SQL Server Integration Services (SSIS).

• Reporting & Analytics:

  • Data warehouse (Snowflake, Redshift, Hive).

    • Implementation of data warehouse solutions, providing near real-time data to a variety of client systems;

    • Using SQL databases to construct data storage.

  • Reporting / BI, design, implementation, and enhancement of BI tool is a plus.

    • Looker;

    • Power BI;

    • Tableau.

• Experience designing and implementing data applications and services on the public cloud, AWS, GCP, or Azure using PaaS platforms.

• Familiarity with data privacy regulations and best practices

It will be great if you also know

• Experience with Data Visualization tools such as Tableau.

• Data processing architecture like Lambda Architecture.

• Indexing (SolR or ElasticSearch).

• Prior experience converting Jupyter Notebooks into production processes.

• Data pipeline and workflow management tools.

  • Airflow.

• Data lakes.

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.