CloudFormation

CloudFormation Data Jobs

3 jobs found

Today

Data Engineer

Energy Domain Fort Worth, TX

Fort Worth, TX

Today

$100k - $150k/yr Full time Apache Airflow AWS Cloud Infrastructure

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Job Description

Energy Domain offers a flexible hybrid work model in Fort Worth, Texas (76102) with a salary range of $100,000 to $150,000 per year. This Data Engineer role focuses on building and maintaining data pipelines, improving data quality, and translating business needs into technical requirements in a fast-paced environment. You will collaborate across teams to shape data solutions while benefiting from a supportive culture that prioritizes clarity, delivery, and ongoing learning.

Location: Fort Worth, TX (hybrid) | Compensation: $100,000 — $150,000 per year

Benefits

Flexible hybrid schedule
Newly renovated and furnished office building
Compensation: Salary
401(k) plan
Health insurance starts on day one (employee paid with family option)
Gym reimbursement
Participation in Bonus Plan
Unlimited PTO (subject to supervisor approval)
Dental insurance
Flexible spending account
Health insurance
Vision insurance
Paid time off

Responsibilities

Build and maintain data pipelines to ingest and normalize structured, semi-structured, and unstructured data.
Analyze source data and provide novel solutions to continually improve data quality and consistency.
Collaborate with fellow developers, business development personnel, and management to understand business needs and translate them into technical requirements.
Ensure code quality, security, and scalability.
Debug and troubleshoot issues in a timely manner.
Participate in code reviews and provide constructive feedback.

Requirements

5+ years of experience in software development.
Strong experience in Python, GitHub, Linux, ETL Orchestration Tools (e.g. Airflow) and AWS.
Strong experience with AI integrations and AI workflows.
Experience building distributed data integrations in a production environment at scale.
DevOps skills and experience.
Experience with relational databases.
Strong problem-solving skills and attention to detail.
Ability to work in a fast-paced environment.
Excellent communication and interpersonal skills.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future

Technologies

Python
GitHub
Linux
Apache Airflow
AWS
Typescript
React
Django
CloudFormation

Bonus Skills

Typescript, React, Django, CloudFormation
Experience in the oil and gas industry
Experience with Apache Airflow

Culture and Assessment

Applicants MUST complete this survey to be considered. Use the following link, complete both pages of questions and follow the prompts. https://go.apply.ci/p/OHUBN73t1gr0x55GuKKr

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5d ago

Data Engineer

Booz Allen Hamilton Fayetteville, NC

Fayetteville, NC

5d ago

$78k - $176k/yr Full time Apache Airflow Automation AWS

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Job Description

Booz Allen Hamilton is seeking a Senior Data Engineer in Fayetteville, NC (onsite) to design and scale data platforms, migrate data to cloud environments, implement CI/CD, and guide data solutions within a complex enterprise setting.

Responsibilities

Architect, build, and maintain scalable data pipelines and platforms.
Write secure, efficient Python for data processing, automation, and warehousing tasks.
Migrate and integrate data from on prem systems into cloud environments.
Establish CI/CD pipelines to automate build, test, and deployment workflows.
Create SQL scripts and stored procedures for data processing and transformation.
Apply data modeling best practices to support scalable schemas.
Support data governance, metadata tagging, and access control mechanisms.
Collaborate with cross functional teams to deliver end-to-end data solutions.
Provide technical guidance within a complex enterprise environment.

Requirements

2+ years of experience as a data engineer supporting large-scale enterprise systems.
Proven ability to write clean, secure, and efficient Python for data engineering use cases.
Experience moving data from on prem environments to the cloud and automating development workflows, including building, deploying, or managing applications.
Hands-on experience with CI/CD practices.
Strong SQL skills, including stored procedures and data modeling.
Experience supporting data governance and data tagging initiatives.
Knowledge of AWS services such as S3, IAM, EventBridge, Step Functions, or Lambda.
Ability to work independently with minimal supervision.
TS/SCI clearance.
HS diploma or GED.

Technologies

Python
SQL
AWS (S3, IAM, EventBridge, Step Functions, Lambda)
dbt
Airflow
Pipeline Builder
AIP
Foundry
Apache Iceberg
Terraform
CloudFormation
NoSQL databases
Graph databases

Benefits

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development opportunities
Tuition assistance
Work-life programs
Dependent care assistance
Recognition awards program

Work Model

Remote: May require occasional in-person work at Booz Allen or a customer facility.
Hybrid: Frequent on-site collaboration at a Booz Allen facility, with potential customer site visits.
Onsite: Primarily based at a Booz Allen office or customer facility, with collaborative in-person work.

Identity Statement

As part of the hiring process, you will undergo an identity verification process that uses advanced biometrics and artificial intelligence to confirm authenticity and deter fraud. Interviews and assessments require you to be on camera, and Booz Allen may take your photo to verify identity and prevent fraud.

Candidate AI Usage Policy

AI tools are part of Booz Allen's daily operations, but the candidate process remains grounded in your own skills and knowledge. Use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is provided.

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24d ago

Project - Data Engineer

Deloitte Rochester, NY

Rochester, NY

24d ago

$57k - $96k/yr Full time Apache Airflow AWS Azure Data Factory

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Job Description

This on-site role is based in Deloitte’s Rochester, NY delivery hub, where data engineering drives analytics outcomes for clients. The Project - Data Engineer focuses on building and refining data pipelines on AWS and Snowflake, delivering analytics-ready datasets, and boosting data quality and observability within project delivery teams. The salary range for this role is USD 57,300 to 95,500 per year.

Responsibilities

Design and improve AWS-based data pipelines using Python to ingest, transform, and supply data to Snowflake and downstream consumers.
Create and maintain Snowflake schemas, tables, and views, and implement efficient SQL transformations to yield analytics-ready datasets.
Set up workflow automation and scheduling using Airflow or MWAA, Step Functions, or Glue, including dependencies, retries, and logging.
Incorporate data quality checks and basic observability (validation rules, reconciliations, alerts) and assist with incident triage and remediation.
Optimize pipelines and queries following best practices, including efficient Python code, S3 partitioning and file formats (Parquet, Delta), and Snowflake warehouse tuning.
Adhere to CI/CD and IaC standards, utilizing Git-based workflows and Terraform or CloudFormation changes to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs, and participate in sprint ceremonies and estimations.
Contribute to code reviews, write and review unit tests, assist with peer debugging, and adopt team engineering standards.
Communicate regularly with Engagement Managers, Directors, project teammates, and diverse functional or technical stakeholders, escalating issues that require engagement management attention.
Lead client engagement workstreams, independently or with others, focused on process improvement, optimization, and transformation, including implementing best-practice workflows and addressing quality deficits to drive operational outcomes.

Requirements

Over one year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
At least one year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
Minimum of one year in cloud data engineering on AWS (preferred) or Azure/GCP, with orchestration/scheduling using Airflow/MWAA, Step Functions, Glue, or ADF/Fabric Data Factory.
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning such as Parquet or Delta.
Working knowledge of DevOps practices, including Git-based workflows and CI/CD, plus exposure to Infrastructure-as-Code tools such as Terraform or CloudFormation.
Understanding of data quality, basic observability, and metadata/governance fundamentals.
Bachelor’s degree, ideally in computer science, information technology, computer engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10 percent on average, depending on client engagements.

Technologies

Python
AWS
Snowflake
PySpark
Airflow
MWAA
Step Functions
Glue
S3
Parquet
Delta
Git
Terraform
CloudFormation
Azure Data Factory
Fabric Data Factory

Benefits

Discretionary annual incentive program (subject to rules)

The Team

AI & Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to me

Preferred

Experience delivering projects in Agile environments.
Strong analytical skills to manage multiple projects and prioritize tasks into clear work products.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Ability to present technical demonstrations.

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