Data Engineer
United States - Remote
Applications have closed
About You:
- You have an interest in computer systems and coding languages while staying on top of the latest technologies.
- Your instinct to automate simple tasks that can save co-worker/client time.
- You are enthusiastic about taking the lead in developing successful, long-term testing strategies.
- You enjoy the challenge of discovering new technologies and finding ways to use them.
- You thrive in a culture that is nimble, collaborative, analytical, and creative.
- You are a self-starter.
Does this sound like you? If so, Level Agency is currently looking for an experienced and results-driven Data Engineer to join our team, and we can’t wait to meet you!
The ideal candidate will have experience building applications to connect different sources of information, programming and database/data warehouse management. Experience building highly responsive web applications that align with business needs is also preferred. This role reports to our Business Intelligence Product Owner.
About the Position:
The Data Engineer will be part of the agency’s Enterprise Data & Analytics Team, owning technology products and processes. This includes developing and maintaining multiple automation tasks, data connections, web integrations, warehouse optimization, external product development, and all related documentation. Other responsibilities include writing and testing code, debugging programs and integrating applications with third-party web services. The salary range for this position is $70 – 90K.
Success in this position means making sure the company is following current best practices while also pushing towards innovation. Technology is constantly changing, and we need to make sure that Level Agency is going to grow with it.
We are interested in every qualified candidate who is eligible to work and will perform the work in the United States. We are not able to sponsor visas.
Your Impact:
- Owning web integrations, providing best practices, and documentation.
- Staying on top of the newest technologies and learning from different testing models.
- Analyzing different tests to identify best practices for the company.
- Management and maintenance of the data warehouse and connections that provide critical data for business decisions.
- Act as a lead to identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and providing more time for co-workers to make better decisions.
- Creating programs that can be recycled and used for multiple situations / clients.
- Communicating with clients on what was successful and able to explain the “why” behind unsuccessful moments
- Writing effective, scalable code (read below for specific coding language requirements)
- Build reusable code and libraries for future use
- Automation of client and internal products
- Dev-ops including system management, server setup and cloud-app setup
- Developing back-end components to improve responsiveness and overall performance
Requirements
Skills:
- Experience with programming and/or architecting a back-end language (JavaScript, Node.js, Ruby & Python)
- Experience with non-relational & relational databases (SQL, MySQL, PostgreSQL, NoSQL, Hadoop, MongoDB, etc.)
- Understanding of how to work with specific API styles (REST/SOAP)
- Familiarity with various cloud platforms such as AWS, Azure or GCP
- Creative and innovative approach to problem-solving
- Familiarity with continuous-integration tools and patterns (Jenkins, Travis CI, etc.)
- Ability to accurately estimate project hours.
- An understanding of agile scrum methodology and marketing analysis is a plus
Qualifications:
- 3-5 years’ experience in Back-end Development.
- 2+ years in the data warehouse space.
- 2+ years writing SQL statements and optimization
Benefits
- Competitive compensation
- Performance reviews every six months
- 401k plan with 3% employer contribution
- 11 annual paid holidays
- 15 PTO days +1 additional day per year of service
- Summer Fridays
- Great medical benefits including vision and dental
- Parental leave benefit after 1 year of full-time service
- Ability to develop and refine skills with career advancement opportunities
- Employee appreciation programs
The Company:
Change is the only constant in today’s marketing ecosystem, and it's happening FAST. Level Agency (www.level.agency) and its team of digital marketing scientists are experts at helping clients improve performance and acquire knowledge through its test, learn, and grow framework.
Test: Use design thinking principles to understand rapidly changing consumer challenges, formulate hypotheses, and develop creative prototypes.
Learn: Run experiments using lean methods that teach us more about our audiences and their preferences; measure results in real-time
Grow: Allocate additional marketing resources to exploit the new knowledge; tweak campaigns to be better every day; identify the next logical test; and run the cycle again.
Recently ranked #113 on the Inc. 500's Fastest-Growing Private U.S. Companies and one of Pittsburgh's Best Places to Work, Level Agency delivers powerful and comprehensive online solutions including multi-channel digital marketing, search engine optimization, lead generation, website development, ROI reporting, and much more.
Level Agency is an equal opportunity employer, a Military Friendly® partner, and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Tags: Agile APIs AWS Azure Business Intelligence Data warehouse GCP Hadoop JavaScript MongoDB MySQL Node.js NoSQL PostgreSQL Python RDBMS Ruby Scrum SQL Testing
Perks/benefits: 401(k) matching Career development Competitive pay Health care Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs