Design, build, optimize, and support an AI-forward data platform. Develop scalable ETL/ELT pipelines using Databricks, Python, and PySpark. Build cloud-native solutions on AWS/Azure, apply CI/CD and secure development practices, collaborate with data scientists and stakeholders, and incorporate AI tools to improve engineering productivity.
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next-generation AI-forward data platform, enabling scalable, secure, and high-performance data solutions that power advanced analytics and machine learning.
If you thrive in a collaborative environment and enjoy solving complex technical challenges.
We'll Trust you to:
- Design, develop, optimize, and support Beghou's AI-forward data platform.
- Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
- Develop cloud-native data solutions on AWS and/or Azure.
- Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
- Optimize data processing performance, reliability, and scalability.
- Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
- Apply cloud security and identity management best practices across the platform.
- Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
- Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.
You'll need to have:
- Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
- 3+ years of professional data engineering experience.
- Strong programming experience with Python, including pandas and/or PySpark.
- Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
- Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
- Experience using Git-based source control and modern CI/CD practices.
- Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
- Knowledge of cloud security best practices.
- Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
- Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
- Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
- Experience incorporating AI-assisted development tools into engineering workflows.
- Industry certifications such as:
- Databricks Certified Data Engineer
- AWS Certified Data Engineer
- Microsoft Azure/Fabric Data Engineer
- Google Cloud Professional Data Engineer
- Experience in the life sciences, healthcare, or pharmaceutical industry.
Preferred Qualifications
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 to $105,000.
We are currently unable to consider candidates who require or will require sponsorship for work authorization in the future. Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.
At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!
Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:
Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.
Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.
Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.
Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.
Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact.
Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.
Must be legally authorized to work in the United States.
Beghou Consulting Boston, Massachusetts, USA Office
70 Federal Street, Boston, United States, 02110
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.
Top Skills:
Amazon DynamodbAmazon RdsAmazon S3AWSAws CloudformationAws GlueAws LambdaAzureAzure Cosmos DbAzure Data FactoryAzure Data Lake StorageAzure FunctionsAzure Resource ManagerAzure Sql DatabaseDatabricksDevops (Aws/Azure/Gcp)GCPGoogle Cloud FunctionsGoogle Cloud StorageGoogle DataflowGoogle DataprocHadoopIamJavaKafkaPythonScalaSnowflakeSparkSQLTerraform
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.
Top Skills:
AWSAzureDatabricksGCPSnowflake
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and build data infrastructure and pipelines using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, collaborate with clients, and apply data architecture, transformation, and analytics to deliver insights.
Top Skills:
Apache AirflowApache HadoopAWSAzure Data FactoryDagsData LakeData WarehouseDatabricksDimensional ModelingAzure
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
