SharpAtoms is a leading Technology and Consulting company at the forefront of digital transformation. We specialize in AI/ML, robust platform engineering, and emerging technologies, building intelligent, secure, and scalable applications that deliver efficiency, insights, and tangible value to clients globally.

Our expertise spans the most critical areas >
Core Technology Focus: Artificial Intelligence & Machine Learning (AI/ML): We develop advanced solutions using Generative AI, LLMs for automation and content, Predictive Analytics for forecasting, and NLP/Computer Vision for deep insights and automation.

Advanced Platform Engineering: Our focus includes Cloud-Native & Serverless architectures across AWS, Azure, GCP, robust DevSecOps for secure, rapid deployments, and high-performance Data Platforms for real-time analytics and comprehensive data management.

Emerging Tech & Specialized Domains: We're pioneers in IoT & Edge Computing for intelligent connected solutions, Blockchain/DLT for transparency and security, and advanced Cybersecurity, including Zero Trust, to safeguard your digital assets.

Foundational Skillsets> 
Our strength comes from our people:
Data Science: Expert in statistical modeling and pattern recognition for prescriptive insights.
High-Performance Computing: Optimizing software for demanding computational tasks.
Modern Language Proficiency: Skilled in Go, Rust, Kotlin, Python, and Java for optimal performance.
Exceptional UX/UI Design: Crafting intuitive, engaging, and accessible user experiences.

SharpAtoms partners with forward-thinking businesses worldwide, engineering competitive advantage and fostering sustainable growth through innovative software.

SharpAtoms

Junior Data Engineer (Entry-Level)Job Location: USAWork Arrangement: Remote
SharpAtoms works with organizations undertaking data modernization, cloud, analytics, and technology transformation initiatives. We are currently evaluating early-career Data Engineering talent for upcoming project requirements and deployment opportunities.
Candidates may be considered for assignments involving data pipeline development, cloud data platforms, data warehousing, analytics engineering, and related data engineering functions. Project requirements, technology stacks, and team structures may vary by engagement.
We are looking for an enthusiastic and highly motivated Junior Data Engineer to join our Data Engineering team. This is an entry-level opportunity designed for candidates who are beginning their careers in data engineering, data analytics, or related technology fields.
You will work alongside experienced Data Engineers to build, maintain, and optimize modern data pipelines and platforms while gaining hands-on experience with real-world data engineering technologies.
Who Should Apply?This opportunity is intended for entry-level candidates with 0–1 year of full-time professional Data Engineering experience.No prior full-time professional experience is required.Academic projects, internships, personal projects, bootcamp projects, GitHub projects, and hands-on cloud/data projects are highly valued.Candidates with more than 1 year of full-time professional Data Engineering experience may be better suited for experienced-level roles.
Key ResponsibilitiesData Pipeline DevelopmentAssist in designing, developing, testing, and maintaining ETL/ELT data pipelines.Collect, transform, and load structured and semi-structured data from multiple sources.Support batch and basic real-time data processing workflows.Data Engineering & CloudWork with technologies such as Python, SQL, PySpark, Apache Spark, Databricks, Snowflake, and dbt.Gain hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Assist with cloud-based data storage, processing, and data integration solutions.Databases & Data WarehousingWork with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.Support modern data warehouses and lakehouse platforms such as Snowflake, Databricks, Redshift, BigQuery, or Azure Synapse.Assist with data modeling, schema design, and performance optimization.Data Quality & MonitoringPerform data validation, cleansing, troubleshooting, and quality checks.Help identify and resolve data pipeline failures and data inconsistencies.Monitor scheduled data workflows and support reliable data delivery.Collaboration & DocumentationParticipate in Agile/Scrum meetings and collaborate with Data Engineers, Data Analysts, Data Scientists, and business teams.Use Git for version control and collaborative development.Maintain technical documentation for pipelines, data models, and workflows.
Required Skills & QualificationsEducationBachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Software Engineering, Engineering, or a related field.Equivalent practical training, bootcamp, certification, or relevant project experience may also be considered.Experience0–1 year of full-time professional Data Engineering or related experience.
Technical SkillsStrong foundational knowledge of SQL and relational database concepts.Basic programming knowledge in Python.Understanding of ETL/ELT concepts, data pipelines, data warehouses, and data modeling.Familiarity with one or more technologies such as Spark, PySpark, Databricks, Snowflake, dbt, Airflow, or Kafka.Basic knowledge of at least one cloud platform: AWS, Azure, or GCP.Familiarity with Git, GitHub, branching, merging, and pull requests.Exposure to Linux/Unix commands is a plus.Soft SkillsStrong analytical thinking and problem-solving abilities.Good communication and collaboration skills.Attention to detail and an interest in working with large datasets.Strong willingness to learn new data technologies and continuously develop technical skills.
Equal Opportunity EmployerWe are an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.