Infoverity · 4 hours ago
Data Engineer
Infoverity is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. They are seeking a highly skilled and analytical Data Engineer to help architect, build, and optimize cutting-edge data platforms for clients, focusing on designing scalable solutions across modern cloud environments.
ConsultingData ManagementInformation Services
Responsibilities
Design and implement scalable data pipelines for ingesting, transforming, and storing data using platforms like Databricks, Snowflake, and Microsoft Fabric
Develop efficient ETL/ELT workflows to ensure seamless data movement and optimize performance
Build data pipelines to support advanced analytics and AI/ML workflows in cloud environments
Create data models and establish governance frameworks to ensure integrity, security, and consistency
Partner with clients to understand business needs and design tailored data solutions
Work with cloud platforms (e.g., AWS, Azure, GCP) to implement optimized storage and retrieval systems
Monitor and optimize query performance, and create reusable automation scripts for efficient workflows
Deliver training, documentation, and support to ensure client adoption and enhance organizational data literacy
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related discipline
2–3 years of experience in designing and implementing data engineering solutions
Strong expertise in Databricks, Snowflake, and/or Microsoft Fabric for data pipeline and operations development
Proficiency in SQL, Python, Spark, and distributed data frameworks
Practical experience with ETL/ELT workflows, cloud-native services, and data warehousing
Understanding of AI/ML-related data workflows, including preparation for feature engineering and model optimization
Knowledge of data governance, security protocols, and compliance standards in cloud ecosystems
Excellent communication skills with the ability to collaborate across diverse teams and engage clients effectively
Demonstrated ability to work both independently and as part of a dynamic team
Preferred
Certifications in Databricks, Snowflake, Microsoft Fabric, or cloud platforms such as Azure, AWS, or GCP
Hands-on experience with data orchestration tools such as Apache Airflow, dbt, or Delta Lake
Familiarity with DevOps processes, CI/CD pipelines, and IaC tools like Terraform
Experience in regulated industries (e.g., healthcare, insurance, finance), with a focus on compliance and data security
Background in automating infrastructure and workflows across advanced cloud environments
Benefits
Medical, dental, and vision coverage
Life and disability insurance
A wide-ranging EAP
Pet insurance
401(k) plan with competitive employer contributions
Charitable donations matching
Professional development and upskilling opportunities
Flexible hours and hybrid/remote work
100% Employee Owned company (ESOP)
Company
Infoverity
Infoverity leverages real-time solutions to help you master the art of enterprise data management
H1B Sponsorship
Infoverity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2021 (1)
Funding
Current Stage
Growth StageRecent News
2025-02-26
Company data provided by crunchbase