Senior Data Integration Engineer
Columbus
BJSS
Leading technology and engineering business consulting firm trusted by clients. We deliver complex, innovative technology and industry solutions. Enquire now.About Us
We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organizations and delivered solutions that millions of people use every day.
In the last 30 years we won several awards, including our most recent inclusion in the Forbes World's Best Management Consulting Firms report.
Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.
We have an established presence in the United States for over ten years. With offices in New York City, Columbus, Ohio and Houston, Texas we offer a local touch with a global reach.
We want to continue to grow and need people just like you!
About the Role
We’re looking for a talented Senior Data Integration Engineer who wants to:
- Design & Develop ETL Processes: Architect and implement efficient and scalable ETL pipelines using legacy and modern cloud data integration tools.
- Technical Leadership: Lead and mentor a team of ETL engineers, providing guidance on best practices, coding standards, and performance optimization.
- Data Architecture: Collaborate with data architects to design data models and ensure data quality, consistency, and availability across systems.
- Data Integration: Integrate data from various sources, including databases, APIs, and flat files, to create unified data sets for analysis and reporting.
- Performance Optimization: Monitor and optimize ETL processes for performance and resource utilization, ensuring timely data processing and delivery.
- Documentation & Best Practices: Document ETL processes and best practices to maintain knowledge transfer and facilitate training for team members.
- Planning & Estimating: Plan and manage ETL projects, including resource allocation, timelines, and deliverables, while ensuring alignment with business goals.
- Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
- Troubleshooting & Support: Diagnose and resolve data-related issues and support production environments to maintain data availability and reliability.
About You
You’ll bring extensive data integration experience gained through a combination of industry and consulting roles. You will be comfortable developing and strengthening peer-to-peer level relationships at all levels with our clients.
Ideally, you will have:
- Extensive experience in data engineering, ETL development, or a similar role, with a focus on Microsoft or Informatica.
- Proficient in Informatica PowerCenter, Informatica Intelligent Cloud Solutions, SQL Server, SSIS, Azure Data Factory, Power BI, and other Informatica or Microsoft data tools.
- Proven experience leading and mentoring teams of data engineers.
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders.
- Strong planning and estimation skills, with the ability to prioritize tasks and lead multiple projects simultaneously.
- Informatica or Microsoft certifications related to data engineering, data science, or cloud technologies.
- Experience working with Informatica Intelligent Cloud (IICS), Azure cloud services, including Azure Data Lake, Azure Synapse Analytics, and other related services.
- Familiarity with data modeling concepts and tools.
- Experience with scripting languages such as Python or PowerShell.
Some of the Perks
- 20 days paid vacation per year and 12 BJSS holidays
- 5 paid sick days
- Competitive medical, dental and vision plans employer funded 80%
- 4 x salary Life and AD&D
- Commuter benefits
- 401K plan (BJSS will contribute 3% of salary into your 401K)
- An industry-leading referral scheme, with no limits on the number of referrals
- Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH
- Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly
- You will become part of a squad with people from different areas within the business who will help you grow at BJSS
- A collaborative and inspiring environment working alongside some of the best tech people in the industry
- We partner with Lifeworks to offer wellbeing support to our employees
Working Restrictions
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
BJSS will only employ those who are legally authorized to work in the United States for this opening. We are unable to offer visa sponsorship.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure Consulting Data quality Engineering ETL Informatica Pipelines Power BI Python SQL SSIS
Perks/benefits: 401(k) matching Career development Competitive pay Health care Unlimited paid time off
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 Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs