Data Engineer

Coherent Solutions; United States; Hybrid; USD 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

English courses

Sports activities

Flexible work options

Referral program

Vacation days

Job summary

Coherent Solutions is seeking a motivated Data Engineer to join our growing data team. This opportunity is ideal for someone early in their career to gain hands-on experience building scalable data pipelines and infrastructure.

You will collaborate with senior engineers and analysts to design, develop, and maintain robust data solutions, while learning modern data technologies and best practices in data engineering. This role offers clear growth and hands-on project exposure.

Qualifications

• 1+ years of practical data-focused experience or relevant internship.
• Bachelor’s degree in CS/IT/Math or equivalent practical experience.
• Basic SQL and relational DB knowledge (PostgreSQL/MySQL/SQL Server).
• Familiarity with at least one programming language (preferably Python).
• Understanding of ETL concepts and data warehousing fundamentals.
• Eagerness to learn new data engineering technologies.
• Strong problem-solving and attention to detail.
• Effective communication and teamwork abilities.
• English level: Intermediate (B1) or higher.

Responsibilities

• Assist in design, development, and maintenance of scalable data pipelines.
• Support data integration from databases, APIs, and flat files.
• Help ensure data quality, consistency, and reliability.
• Collaborate with data analysts and data scientists to understand data requirements.
• Participate in code reviews and contribute to technical documentation.
• Monitor and troubleshoot data workflows, resolving issues as they arise.

Skills

Problem-solving

Attention to detail

Communication

Teamwork

Education

Bachelor’s degree or equivalent

Tools

SQL

Python

Cloud platforms (AWS/GCP/Azure)

Power BI

Tableau

Job description

Project Description

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

Technologies

• SQL (PostgreSQL, MySQL or similar)
• Python (or another scripting language)
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus

What You’ll Do

• Assist in the design, development, and maintenance of scalable data pipelines;
• Support data integration from various sources (databases, APIs, flat files);
• Help ensure data quality, consistency, and reliability;
• Collaborate with data analysts and data scientists to understand data requirements;
• Participate in code reviews and contribute to technical documentation;
• Monitor and troubleshoot data workflows, resolving issues as they arise;

Job Requirements

• 1+ years of practical experience or relevant internship in a data-focused role (preferred);
• Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience);
• Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server);
• Familiarity with at least one programming language (preferably Python);
• Understanding of ETL concepts and data warehousing fundamentals;
• Eagerness to learn new technologies and best practices in data engineering;
• Strong problem-solving skills and attention to detail;
• Effective communication and teamwork abilities;
• English level: Intermediate (B1) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.