Data Integration Engineer - BakerHostetler Career - Remote

The Remote Job Journal; United States; Remote; USD 120,000 - 175,000; Full time

Job summary

A leading company in data integration is seeking a Data Integration Engineer to design and implement data solutions. The role requires extensive experience in Azure technologies, strong problem-solving skills, and the ability to work collaboratively across teams ensuring data quality and innovation.

Qualifications

• Bachelor's degree in Computer Science or Information Technology required.
• 8-10 years experience in developing software solutions.

Responsibilities

• Develop and implement data processing workflows and pipelines.
• Ensure seamless flow of data across systems with effective solutions.
• Monitor and resolve problems with data platforms.

Skills

Data Integration

Azure Data Factory

Azure SQL Database

Azure Blob Storage

Azure Data Lake Storage

Azure Synapse Analytics

Apache Spark

Data Validation

Data Cleansing

Education

Bachelor’s degree in computer science or information technology

Job description

Join our IS team as a Data Integration Engineer, where you'll play a pivotal role in designing and implementing data integration solutions. You'll collaborate with cross-functional teams to ensure seamless data flow and integration across our software solution platforms. Your contribution will shape our enterprise data strategy, driving innovation and efficiency in data management processes.

RESPONSIBILITIES:

• Develop and implement data processing workflows/pipelines to support solutions development and business intelligence needs.
• Ensure seamless flow of data across systems by developing scalable and effective data integration solutions.
• Develop and maintain data storage solutions, including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity.
• Monitor and resolve problems with data platforms to guarantee consistency and availability of the data.
• Work together with cross-functional teams to understand the needs for data and create effective data workflows.
• Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data.

REQUIRED TECHNICAL SKILLS:

• Proficiency in the following tools and technologies:
  Azure Data Factory, Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow, Azure Logic Apps, Azure DevOps, Power Automate, REST API.

REQUIRED EDUCATION AND EXPERIENCE:

• Bachelor’s degree in computer science or information technology. Equivalent combination of education and experience will also be considered
• 8-10 years of hands-on experience developing software solutions

REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS:

• Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff).
• Ability to lead and build consensus among peers and staff.
• Understanding and ability to follow project management methodologies.
• Accurately manage and report all time worked on projects.
• Ability to prioritize and manage tasks effectively.
• Ability to work in a fast-paced, flexible environment.
• Ability to effectively communicate technical concepts with an audience.
• Must be able to perform essential duties of the position with time constraints, interruptions, and under stress.

OTHER DESIRED TRAITS:

• Attention to detail. Professional, efficient, and business-like manner. Proactive and shows initiative. Flexible and willing to take on new and challenging tasks.

Application Process:

Interested candidates should submit their resume and cover letter in an application on our website.

The expected annual salary for this position ranges from $120,000 – 175,000. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills.

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