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titles = [jobs[i]['title'] for i, v in enumerate(jobs)] can (should?) be rewritten :

titles = [j['title'] for j in jobs.items()] because we just want to access the value at position i (More details)

Thus, the whole code would be :

def splitData(jobs):
 salaries = [j['salaryNormalized'] for j in jobs.items)]
 descriptions = [j['description'] + j['normalizedLocation'] + j['category'] for j in jobs.items)]
 titles = [j['title'] for j in jobs.items)]
 return salaries, descriptions, titles

Not quite sure how much it helps from a performance point of view.

Edit : Otherwise, another option might be to write a generator which returns j['salaryNormalized'], j['description'] + j['normalizedLocation'] + j['category'], j['title'] as you need it. It depends how you use your function really.

titles = [jobs[i]['title'] for i, v in enumerate(jobs)] can (should?) be rewritten :

titles = [j['title'] for j in jobs.items()] because we just want to access the value at position i (More details)

Thus, the whole code would be :

def splitData(jobs):
 salaries = [j['salaryNormalized'] for j in jobs.items)]
 descriptions = [j['description'] + j['normalizedLocation'] + j['category'] for j in jobs.items)]
 titles = [j['title'] for j in jobs.items)]
 return salaries, descriptions, titles

Not quite sure how much it helps from a performance point of view.

Edit : Otherwise, another option might be to write a generator which returns j['salaryNormalized'], j['description'] + j['normalizedLocation'] + j['category'], j['title'] as you need it. It depends how you use your function really.