Data Engineer

Job summary:

We are seeking a motivated and detail-oriented Data Engineer to join our team and help build and maintain reliable data pipelines and data solutions.

The ideal candidate will have 1–3 years of experience in data engineering, strong SQL and Python skills, and an interest in working with modern data technologies and cloud platforms.

This is a great opportunity for an early-career Data Engineer who enjoys working with data, solving technical problems, and building scalable data solutions in a collaborative environment.

location: USA(Remote)
job type: Fulltime
education: Bachelor's Degree
work arrangement: Remote — United States Only

Important: This position is open only to candidates who are currently located in the United States. Candidates residing outside the United States will not be considered.

Responsibilities

• Data Pipeline Development: Build, maintain, and improve reliable data pipelines for collecting and processing data from multiple sources.
• ETL/ELT: Develop and maintain ETL/ELT processes to transform and load data into databases and data warehouses.
• Data Integration: Integrate data from APIs, databases, applications, files, and other sources.
• SQL & Data Processing: Write efficient SQL queries and perform data transformation and analysis.
• Python Development: Use Python to automate data-processing tasks and develop data engineering solutions.
• Data Quality: Monitor data pipelines and help identify and resolve data quality, accuracy, and reliability issues.
• Cloud Data Solutions: Work with cloud-based data services and platforms such as AWS, Azure, or GCP.
• Database Management: Work with relational and non-relational databases to store and process data efficiently.
• Collaboration: Work closely with Data Scientists, Software Engineers, Analysts, and business teams to understand data requirements.
• Documentation: Document data pipelines, processes, data sources, and technical solutions.
• Performance Optimization: Help improve the performance, scalability, and reliability of data pipelines and systems.

Qualifications

• 1–3 years of professional experience in Data Engineering, Data Development, Database Engineering, or a related field.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Strong knowledge of SQL.
• Experience with Python or another programming language.
• Understanding of ETL/ELT processes and data pipeline development.
• Familiarity with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Understanding of data warehousing concepts.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience working with APIs, JSON, CSV, or other data formats is preferred.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability and willingness to learn new data technologies.

Preferred Qualifications

• Experience with Apache Spark, Databricks, Snowflake, Redshift, BigQuery, or Azure Data Factory.
• Familiarity with Airflow, dbt, Kafka, or similar data tools.
• Experience with cloud-based data warehouses or data lakes.
• Familiarity with Git and standard software development practices.
• Exposure to data visualization or business intelligence tools is a plus.
• Internship, academic, or personal data engineering projects are a plus.

Skills

Data Engineering, Python, SQL, ETL, ELT, Data Pipelines, Data Integration, Data Warehousing, Data Lakes, Database, PostgreSQL, MySQL, SQL Server, Oracle, AWS, Azure, GCP, Apache Spark, Databricks, Snowflake, Redshift, BigQuery, Azure Data Factory, Airflow, dbt, Kafka, APIs, JSON, CSV, Git, Data Processing, Data Quality, Data Modeling, Cloud Computing, Problem Solving, Analytical Skills, Collaboration.

Work Authorization & Location

This position is open to candidates currently located in the United States only.

• Candidates must currently reside in the United States.
• This is a remote position within the United States.
• Worldwide/international applicants will not be considered.
• Candidates must be legally authorized to work in the United States.

Pay: $75,000.00 - $80,000.00 per year

Work Location: Remote