Data Engineer II (DBT)

Gravity IT Resources; Miami (FL); On-site; USD 110,000 - 160,000; Full time

Job summary

Gravity IT Resources is seeking a Data Engineer II to analyze large data sets and build scalable data pipelines in a predominantly AWS environment. You will work with Jira, Salesforce, and internal portals to automate analytics and enterprise-scale data delivery.

You will own key datasets, contribute to modern data warehousing, and help evolve reporting and analytics capabilities using SQL and Python. This is a contract-to-hire role located in Miami, FL, with collaboration across product,

Qualifications

• Bachelor's degree in Computer Science, IT, or related field.
• 3–5 years of experience delivering data engineering solutions.
• Strong experience with AWS services (Glue, Lambda, S3, EC2, CloudWatch, CloudTrail).
• Proficiency with dbt, Snowflake, SQL, Python, and Qlik.

Responsibilities

• Design, implement, and support analytical data infrastructure and data warehouse concepts.
• Build, optimize, and maintain scalable ETL pipelines for structured and unstructured data.
• Optimize storage, performance, and cost efficiency of data assets.
• Manage AWS resources and services (EC2, S3, Glue, Lambda, IAM, CloudWatch).
• Collaborate with teams to extract, transform, and load data from diverse sources using SQL and AWS tools.
• Explore AWS capabilities to improve platform efficiency and unlock new analytics use cases.
• Partner with Data Scientists and BI Engineers to improve reporting and analytics.
• Automate workflows and enable self-service data access for internal customers.
• Maintain BI reporting platforms and provide user support.

Skills

SQL proficiency

Python programming

Java/Scala

ETL pipelines

Data warehousing concepts

Data modeling

AWS data services

CI/CD pipelines

BI collaboration

Education

Bachelor's degree in Computer Science / Information Technology

Tools

dbt

Snowflake

SQL

Python

Qlik

MongoDB

Cassandra

DynamoDB

Apache Spark

Hadoop

Apache Airflow

Redshift

Azure Synapse

BigQuery

Job description

Job: Data Engineer II (DBT)
Location:Miami, FL
Job Type: Contract to Hire

What We Are Looking For
As a Data Engineer II, you will analyze large volumes of business data, solve real-world problems, and develop metrics and business cases that enable actionable business insights. You will leverage data from platforms such as Jira, internal portals, and Salesforce, partnering with Product Managers, Software Engineers, Data Scientists, and Business Intelligence Engineers to automate and scale analysis and make data usable at enterprise scale.

In this role, you will own and support key datasets, build and optimize data pipelines that feed critical systems, and contribute to the evolution of modern data warehousing, reporting, and analytics capabilities. You’ll work heavily in AWS and modern data tooling, writing advanced SQL and Python to deliver reliable, performant, and cost-efficient data solutions.

Responsibilities

• Design, implement, and support analytical data infrastructure with working knowledge of modern data warehouse concepts
• Design, build, and maintain efficient, scalable data pipelines and ETL processes for structured and unstructured data
• Optimize data storage and retrieval for performance, scalability, and cost efficiency
• Manage and support AWS resources and services including EC2, S3, Glue, Lambda, APIs, IAM, CloudWatch, and CloudTrail
• Partner with other technology teams to extract, transform, and load data from a wide variety of sources using SQL and AWS big data technologies
• Explore and adopt emerging AWS capabilities to increase platform efficiency and unlock new data/analytics use cases
• Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to adopt best practices in reporting and analysis
• Improve ongoing reporting and analysis processes by automating workflows and enabling self-service support for internal customers
• Maintain internal reporting platforms/tools including troubleshooting, enhancement development, and user support
• Gather and clarify reporting requirements and translate them into report specifications and deliverables
• Work with engineering partners to shape and implement BI infrastructure including data warehousing, reporting, and analytics platforms
• Contribute to BI tools, skills, culture, and measurable business impact
• Write advanced SQL queries and Python code to develop and operationalize solutions
• Work with Snowflake and related data patterns as needed
• Collaborate across teams to align AI initiatives with organizational goals; demonstrate working knowledge of AI concepts
• Support CI/CD pipelines and participate in deployments when necessary

Qualifications
Required

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 3–5 years of experience in data engineering (or related role) with demonstrated success delivering data solutions
• Strong experience with AWS services including Glue, Lambda, S3, EC2, CloudWatch, and CloudTrail
• Experience with dbt, Snowflake, SQL, Python, and Qlik
• Proficient in SQL, including complex query writing, optimization, and performance tuning
• Experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) and understanding of appropriate use cases
• Strong programming skills in Python, Java, or Scala; experience with data processing frameworks such as Apache Spark and/or Hadoop
• Experience with cloud platforms (AWS, Azure, GCP) and data services such as Redshift, Azure Synapse, or BigQuery
• Knowledge of big data technologies such as Hadoop, Spark, Kafka, and HBase; experience with distributed data processing
• Familiarity with data orchestration tools such as Apache Airflow for scheduling and managing workflows
• Experience with data versioning/testing tools such as DVC and dbt
• Understanding of data security practices including encryption, access controls, and data masking

Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.