Snowflake Database

Snowflake Database Engineer Jobs

2 jobs found

Today

Senior Data Engineer (Snowflake, AWS)

Ecco Select Atlanta, GA

Atlanta, GA

Today

Contract Senior Amazon Web Services AWS

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Job Description

Senior Data Engineer role focused on building AWS-based data pipelines and a Snowflake data platform for analytics and reporting.

Responsibilities

Design and implement batch and near-real-time data pipelines on AWS using S3, Glue, Lambda, and Step Functions
Develop and maintain Snowflake data models across raw, staging, and reporting layers for analytics and business reporting
Load and transform data in Snowflake using Snowpipe, Streams and Tasks, and external stages
Integrate data from internal applications, SaaS platforms, and third-party sources via APIs and file-based feeds
Tune Snowflake for performance and cost using warehouse sizing, query optimization, and usage monitoring
Implement data quality checks, monitoring, and alerting to detect pipeline failures and data issues early
Apply data security and governance, including role-based access control and data masking
Collaborate with teams using .NET-based systems to support data sourcing and integrations
Document data flows, models, and processes; participate in code reviews

Requirements

5–7+ years of data engineering experience
Hands-on Snowflake experience, including data modeling, SQL development, and performance tuning
Production experience with AWS data services: S3, Glue, Lambda, Step Functions
Advanced SQL and strong data warehousing concepts, including dimensional modeling and ELT patterns
Familiarity with C#/.NET sufficient to read, support, or build data integrations
Experience with Git and CI/CD practices
Strong communication skills and a collaborative approach with technical and business teams
Bachelor’s degree in Computer Science or related field, or equivalent experience

Technologies

Snowflake, AWS
S3, Glue, Lambda, Step Functions
SQL, dimensional modeling, ELT
C#/.NET, .NET, Git
CI/CD
Snowpipe, Streams and Tasks, external stages
APIs
Role-based access control, data masking

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Nice to Have

dbt, Python, or Airflow
Infrastructure as code with Terraform or CloudFormation
Experience with Power BI, Tableau, or other BI tools that use Snowflake
Background in events, hospitality, or customer engagement data
SnowPro Core or AWS Data Engineer (Associate) certification

Contract Details

Job type: contract
Duration: 6 month+ contract to hire
Start date: November
Schedule: Hybrid (onsite 2-days weekly)
Location: Atlanta, GA
Work location: Hybrid remote in Atlanta, GA 30318

Application Questions

Are you based in the Atlanta region and willing to work a hybrid schedule coming onsite 2-days weekly?
Can you work as a W2 employee of our agency without sponsorship or future visa transfer?
Do you have 5 or more years of experience in data engineering?
Do you have in-depth hands-on technical experience with the Snowflake platform?
Do you design, build, and maintain data pipelines regularly?
Are you proficient with AWS data services such as S3, Glue, Lambda, or Step Functions?

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4mo ago

Data Engineer

Professional Staffing Services Group Orlando, FL

Orlando, FL

4mo 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

The Data Engineer will be responsible for collecting, storing, processing, analyzing, and modeling large datasets while building data driven applications and scalable analytics solutions across the organization. This role is based on site in Orlando, Florida.

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 routing data to applications and affiliates.
Maintain, monitor, and optimize the analytics data warehouses and the overall data platform.
Provide hands-on development, deployment, maintenance, and support for a range 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 the data infrastructure meets business needs.
Maintain a critical view of technical strategy, proactively identifying performance gaps and designing creative solutions.

Requirements

Bachelor's degree in Computer and Information Science is required; a Master’s degree is preferred.
Snowflake and Python certifications are highly preferred, but not required.
Excellent interpersonal, communication, and problem-solving skills. Highly organized with strong attention to detail, systemic thinking, and a collaborative 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 Snowpipe, Informatica, Airflow, and Kafka.
A 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 opportunities.

Technologies

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

Compensation

Annual salary offered is USD 90,000 to 100,000.

Education

Bachelor's degree in Computer and Information Science (required); Master’s degree (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)

Certifications

Snowflake or Python certification (Preferred)

Location and Work Setup

Location: Orlando, FL 32801 (Preferred)
Work location: In person
Ability to commute: Orlando, FL (Preferred)

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