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2 jobs found

1mo ago

Data Engineer

Professional Staffing Services Group Orlando, FL

Orlando, FL

1mo ago Closed

$90k - $100k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

Data Engineer role in Orlando, FL onsite, focused on collecting, storing, processing, analyzing, and modeling large datasets to power data-driven applications and scalable analytics across the organization.

Responsibilities

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into the central data warehouse and moving data out to applications and affiliates.
Maintain, monitor, and optimize analytics data warehouses and the overall data platform.
Provide hands on development, deployment, maintenance, and support for a mix of cloud and on premise solutions, web service infrastructures, and supporting technologies.
Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
Collaborate with project managers, business analysts, data scientists, and key stakeholders to translate business requirements into technical specifications and ensure data infrastructure meets business needs.
Continuously evaluate the technical strategy, identify performance gaps, and design creative solutions.

Requirements

Bachelor's degree in Computer and Information Science required; master's degree preferred.
Snowflake and Python certifications are highly preferred but not required.
Excellent interpersonal, communication, and problem solving skills; exceptionally organized with strong attention to detail, systemic thinking, and a collaborative, team-oriented mindset.
3+ years of related data engineering or IT experience.
Proven experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture.
Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake; strong working knowledge of relational databases and SQL.
Proven experience building data pipelines, APIs, and ETL flows in cloud and on premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
Track record of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, with the ability to perform root cause analysis on data processes to identify business opportunities.

Technologies

Snowflake
Python
Apache Spark
Hadoop
Java
Scala
AWS
.NET technologies (C#, VB.Net)
PL/SQL
SQL Server
Snowpipe
Informatica
Airflow
Kafka
SQL

Salary

USD 90,000 - 100,000 per year

Education

Bachelor's (Preferred)

Experience

Data Engineering: 3 years (Preferred)
IT: 3 years (Preferred)
Big data and Cloud: 2 years (Preferred)
Data modeling: 2 years (Preferred)
ETL: 1 year (Preferred)
.NET: 1 year (Preferred)

Licenses and Certifications

Snowflake or Python certification (Preferred)

Location

Orlando, FL 32801 (Preferred)

Work Location

In person

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2mo ago

Sr. Data Engineer

Purpose Financial Greenville, SC

Greenville, SC

2mo ago Closed

Full time Senior Big Data Bigdata

This position is no longer accepting applications (closed Jun 14, 2026).

Job Description

Purpose Financial offers a comprehensive benefits package and a collaborative, fast paced culture. This onsite Senior Data Engineer role in Greenville, SC focuses on designing, building, and maintaining our data infrastructure and pipelines to enable enterprise wide data access and analytics. The ideal candidate has dbt experience and expert knowledge of AWS and Snowflake, and holds a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with at least 10 years of data engineering experience.

Benefits

Competitive wages
Health and life benefits
Health Savings Account plus Employer Seed
401(k) Savings Plan with Company Match
Paid Parental Leave
Company Paid Holidays
Paid Time Off including Volunteer Time
Tuition Reimbursement
Business Casual Environment
Rewards & Recognition Program
Employee Assistance Program
Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

Responsibilities

Design, develop, and maintain scalable data pipelines to ingest, transform, and load structured, semi-structured, and unstructured data from varied sources into data lake and data warehouse environments.
Implement data integration solutions to consolidate data from databases, APIs, streaming platforms, and third party services such as Snowpipe, SnowPark, Dynamo, and Kafka.
Optimize data processing workflows for performance, efficiency, and scalability using distributed computing or parallel processing frameworks like FiveTran, dbt, Snowpark, and Snowpipe.
Collaborate with IT and business stakeholders to understand data requirements, define data models, and build solutions supporting data services, reporting, and software development.
Partner with data, IT, and business teams to improve the design and construction of metrics that enhance analytic capabilities.
Implement data quality checks, validation processes, and error handling to ensure accuracy, completeness, and reliability across the data lifecycle.
Support the design and maintenance of data schemas and metadata repositories for governance, documenting data lineage, definitions, and dependencies.
Support the development and maintenance of data governance policies, standards, and best practices to ensure compliance with data privacy regulations and industry standards.
Apply best practices for AWS and Snowflake architectures, data pipelines, and data models.
Monitor, troubleshoot, and optimize the performance and availability of data systems using monitoring and logging tools such as Prometheus.
Stay current with emerging technologies, tools, and trends in data engineering, cloud architectures, and cloud computing to evaluate their potential impact on our data platforms.
Coach and mentor junior data engineers.

Requirements

10+ years of experience in data engineering, data pipelines, and data services.
Familiarity with Agile/Scrum based development and methodology.
Strong proficiency in Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.
Expert level experience with cloud-based data platforms and services such as AWS, Snowflake, and dbt.
Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.
Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.
Strong communication, interpersonal and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.
Excellent written and verbal communications skills.
Adaptability and flexibility to a changing environment.
Comfortable working in a dynamic, high volume, fast-paced environment.
Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.

Technologies

Python
SQL
Java
Spark
AWS
Snowflake
dbt
FiveTran
Snowpark
Snowpipe
Dynamo
Kafka
Prometheus
Docker
Kubernetes

Travel

0-10% travel

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

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